Events & Talks

Talk Nils Napp 23-05-2023 Abstraction Barriers for Embodied Algorithms Designing robotic systems to reliably modify their environment typically requires expert engineers and several design iterations. This talk will cover abstraction barriers that can be used to make the process of building such systems easier and the results more predictable. By focusing on approximate mathematical representations that model the process dynamics, these representations can be used both to design high-level algorithms and physical robotic systems to solve complex construction tasks. This talk will present ongoing work for two types of abstraction barriers, which can represent ... Metin Sitti Barbara Kettemann

Talk Bo Li 22-05-2023 Special Talk: Certifiably Robust Learning via Knowledge-Enabled Logical Reasoning The ubiquity of intelligent systems underscores the paramount importance of ensuring their trustworthiness. Traditional machine learning approaches often assume that training and test data follow similar distributions, neglecting the possibility of adversaries manipulating either distribution or natural distribution shifts, which can lead to severe trustworthiness issues in machine learning. Our previous research has demonstrated that motivated adversaries can circumvent anomaly detection or other machine learning models at test-time through evasion attacks, or inject malicious instances in... Moritz Hardt Eva Laemmerhirt

Haptic Intelligence Talk Dr. Yanpei Huang 16-05-2023 Movement Augmentation for Robot-Assisted Surgery Many surgical tasks require using three or more tools simultaneously. Currently, surgeries are typically performed by a main surgeon and an assistant, where it is known that their performance can be affected by miscommunications. Providing the surgeon with tools and techniques to control three or four surgical tools by themself would avoid miscommunication and could improve the outcome of surgery. However, the current interfaces allowing a surgeon to control several tools offer only limited precision, dexterity and intuitiveness. Therefore, I developed a dedicated foot interface and techniq... Katherine J. Kuchenbecker

Haptic Intelligence Talk Vani Sundaram 15-05-2023 Embedded Sensing and Control for Multi-unit Soft Robotic Systems Due to the deformable and compliant nature of soft systems, there has been an ongoing need to address the challenges of state estimation and environmental interaction using embedded and distributed sensing. In this talk, I will be sharing the steps I took to develop reliable soft sensors that can be scaled up to control the movements and interactions of various multiunit, electrostatic systems. Initially, I focused on characterizing, sensing, and controlling a single HASEL actuator. However, during this process, we discovered issues with the current method of sensing the movement of these e... Katherine J. Kuchenbecker

Robotic Materials Talk Prof. Dr. Stephan Rudykh 12-05-2023 Instability-driven Pattern Formations for Dynamically Tunable Functionalities in Soft Magneto-Active Materials Nature actively uses sophisticated designs of microstructures to achieve astonishing material properties and functionalities. Thus, microstructures give rise to the incredible toughness of mother-of-pearl. Another example is an octopus, an amazingly effective soft machine created by nature. The creature can squeeze its whole body through an extremely narrow space while preserving a large variety of functionalities. The nature-created soft machine comprises highly deformable composites that are characterized by different dynamically tunable microstructures and phase properties, depending on ... Christoph Keplinger Xiying Li Brian Johnson

Haptic Intelligence Talk Carmelo Mastrandrea 03-05-2023 Continual Ambulatory Monitoring (Bio-Monitor) & Near-Infrared Spectroscopy (NIRS) Advancements in technology have enabled human physiology and health to be assessed in places and ways that were not previously possible. This presentation provides an overview of the smart-shirt technology used during bed rest and spaceflight investigations both on the ground and aboard the International Space Station. Techniques to obtain high-fidelity, un-intrusive physiological measurements of ambulatory individuals and the application of machine learning to predict oxygen uptake from the wearable sensor data will be discussed. The utilization of near-infrared spectroscopy (NIRS) on the ... Katherine J. Kuchenbecker Rachael Lorsa

Haptic Intelligence Talk Eric Hedge 03-05-2023 Novel Methods for Assessing Jugular Hemodynamics Spaceflight induces a headward fluid shift that alters the distribution of blood volume in the human body, leading to distension of astronauts’ veins in their head and neck region while in space. Recently, a jugular venous thrombosis was identified in an astronaut aboard the International Space Station, suggesting an increased risk of thrombus formation. New techniques are needed to better characterize jugular hemodynamics in order understand the risks associated with spaceflight. This presentation provides an overview of high frame rate ultrasound and coded hemodynamic imaging, which are n... Katherine J. Kuchenbecker Rachael Lorsa

Perceiving Systems Talk Bian Siyuan 13-04-2023 Pose, Kinematics, and Dynamics Recovering accurate 3D human pose and shape from monocular input remains a challenging problem despite the rapid advancements powered by deep neural networks. Existing methods have limitations in achieving both robustness and mesh-image alignment, and the estimated pose suffers from physical artifacts such as foot sliding and body leaning. In this talk, we present two new methods to address these limitations. Firstly, we introduce NIKI, an inverse kinematics algorithm that utilizes an invertible neural network to model both the forward kinematics process and the inverse kinematics process. ... Michael Black

Social Foundations of Computation Talk Prof.Dr. Carsten Eickhoff 05-04-2023 Retrieval-Powered Zero Shot Text Classification Moritz Hardt

Symposium 03-04-2023 ELLIS Scientific Symposium Location: MPI-IS Tübingen in N0.002 All current employees of the Max Planck Institute for Intelligent Systems and partner institutions (like the AI Center at the University) are welcome to attend this event. If you have any questions, please contact Carmela Rianna, ELLIS Research Coordinator, at <a href="mailto:carmela.rianna@tuebingen.mpg.de">carmela.rianna@tuebingen.mpg.de</a> Bernhard Schölkopf Carmela Rianna Carolin Lewis

Talk Jeannette Bohg 30-03-2023 Special Talk: Scaling Robot Learning with Language, Logic, and Youtube My long-term research goal is to enable real robots to perform many different tasks in a wide variety of application scenarios, such as in our homes, in hospitals, warehouses, or factories. Many of these tasks require long-horizon reasoning and sequencing of skills to achieve a goal state, which is typically tackled using a hierarchical approach that involves task and motion planners. I will present our work on scaling up long-horizon reasoning for a diverse set of objects, manipulation skills, and tasks. The talk will take a system-level perspective and demonstrate how learning-based appro... Michael Black Eva Laemmerhirt

Perceiving Systems Talk Lisa Dunlap 29-03-2023 Language is the key to robust vision systems The ability to extend a model beyond the domain of the training data is central to building robust computer vision models. Methods for dealing with unseen test distributions or biased training data often require leveraging additional image data, but linguistic knowledge of the task and potential domain shifts is much cheaper and easier to obtain. In this talk, I will present three recent works that focus on different ways one can improve accuracy with language advice and incomplete training data via large-scale vision and language models. Lea Müller

Talk Diyi Yang 27-03-2023 Special Talk: Socially Responsible Language Technologies for Social Impact Natural language processing (NLP) has had increasing success and produced extensive industrial applications. Despite being sufficient to enable these applications, current NLP systems often ignore the social part of language, e.g., who says it, in what context, for what goals, and with what social implications, all of which severely limits the functionality of these applications and the growth of the field. In this talk, I introduce socially aware NLP to show how we can study and build NLP systems from a social perspective using two specific studies. The first part looks at bias in NLP aga... Moritz Hardt Eva Laemmerhirt

Perceiving Systems Talk Anurag Ranjan 23-02-2023 Neural Graphics in a Generative World Recent years have seen significant advancements in deep learning, which has led to a growing belief that Moore's law, which traditionally pertained to the packing of transistors, is now transitioning towards the improvement of photo-realistic 3D graphics. The advancements in this research field can be broadly categorized into two areas: neural fields, which are capable of modeling photo-realistic 3D representations, and diffusion models, which are able to generalize to large scale data and produce photo-realistic images. To combine these technologies for large scale 3D generative modeling, ... Sai Kumar Dwivedi

Perceiving Systems Talk Xi Wang 16-02-2023 What do language models tell us about human-object interaction? Research in artificial intelligence (AI) continues to advance quickly and outperforms humans in many tasks, making its way into our daily lives. However, beneath their superior performance, current technologies, limited in how to perceive, process, and understand our visual world, struggle with understanding and interacting with people. These issues raise the core question of my research: How do we build intelligent systems that can interact with people and offer assistance in a natural and seamless way? In this talk, I will present our recent works on using the CLIP model for object intera... Muhammed Kocabas

Haptic Intelligence Talk Dr. Paul Strohmeier 10-02-2023 Designing Embodied Vibrotactile Feedback Technology shapes our perception of the world in many ways. From an Human Computer Interaction (HCI) perspective, one important way in which this happens is through mediation of information. In HCI, vibration is often used to create symbols for mediating information hermeneutically. One of my research interests is to design vibrotactile signals which employ embodied mechanisms of mediation. I demonstrate how a useful approach for such designs is to switch the focus away from the object or event which is to be represented with a vibrotactile signal, and instead focus on the action the user m... Katherine J. Kuchenbecker

Talk Aenne Brielmann 10-02-2023 International Day of Women and Girls in Science Talk by Dr. Aenne Brielmann: "Quantifying beauty: Finding my way into combining arts and science", followed by a panel discussion Alona Shagan Daniela Macari Oliwia Gust

Symposium 25-01-2023 Scientific Symposium Location: MPI-IS Stuttgart room 2R04 All current and former employees and partners of the Max Planck Institute for Intelligent Systems are welcome to attend this event. If you have any questions, please contact Eva Lämmerhirt, Institute Management Officer, at <a href="mailto:eva.laemmerhirt@tuebingen.mpg.de">eva.laemmerhirt@tuebingen.mpg.de</a> Christoph Keplinger Katherine J. Kuchenbecker Metin Sitti Matthias Tröndle Eva Laemmerhirt

Physical Intelligence Talk Seongjun Park 24-01-2023 Next-generation Fiber-based Biomedical, Neural, and Robotic Interfaces To investigate and control the biological/neural system, it is essential to develop the techniques and devices capable of recording and modulating cellular signals as well as freely moving inside the body. However, current interfaces are limited in many factors such as mechanical invasiveness, non-adaptability (flexibility/stretchability), less-functionality, and limited form factors. Naturally, there is a huge need for new systems allowing for precise manipulation and monitoring of cellular and neural activities with high adaptability and minimal invasiveness. Application of fiber-based ...

Haptic Intelligence Talk Andrew Schulz 23-01-2023 Mechanics and Materials of the Elephant Trunk with Applications to Conservation Technology An elephant trunk is both flexible and strong, able to pick up peanuts and uproot entire trees. This versatility has made the elephant a model for soft robotics studies that seek to build strong, flexible manipulators. By observing elephant behaviors during different mechanical tasks including elongation, wrapping, and suction feeding we can begin to understand the limitations and capabilities of this hydrostat. We further the understanding of these behaviors by looking into the mechanical properties of the elephant trunk’s skin including the wrinkled behavior commonly seen externally. Us... Katherine J. Kuchenbecker

Perceiving Systems Talk Mingyuan Zhang 19-01-2023 Human Motion Generation with Diffusion Models Human motion modeling is important for many modern graphics applications, which typically require professional skills. In order to remove the skill barriers for laymen, recent motion generation methods can directly generate human motions conditioned on natural languages, speech, and music. However, it remains challenging to achieve diverse and fine-grained motion generation with comprehensive condition signals. Inspired by the success in image generation, recent works attempt to apply diffusion models to motion generation tasks (Motion Diffusion Models) and achieve impressive progress in as... Shashank Tripathi

Symposium 17-01-2023 - 20-01-2023 IMPRS-IS 2023 Interview Symposium Keynotes All members of the IMPRS-IS community are invited to attend the seventh annual interview symposium taking place from Tuesday, January 17, to Friday, January 20, 2023. The event will feature two keynote presentations from IMPRS-IS faculty Dr. Daniel Häufle of the University of Tübingen and Dr. Mathias Niepert of the University of Stuttgart. Leila Masri Katherine J. Kuchenbecker Sara Sorce

Perceiving Systems Talk Zhongang Cai 12-01-2023 Data Infrastructure for Scaling up Human Understanding and Modelling to the Real World Human sensing and modelling are fundamental tasks in vision and graphics with numerous applications. However, due to the prohibitive cost, existing datasets are often limited in scale and diversity. This talk shares two of our recent works to tackle data scarcity. First, with the advances of new sensors and algorithms, paired data can be obtained from an inexpensive set-up and an automatic annotation pipeline. Specifically, we demonstrate the data collection solution by introducing HuMMan, a large-scale multimodal 4D human dataset. HuMMan has several appealing properties: 1) multimodal data... Shashank Tripathi

Haptic Intelligence PhD Thesis Defense 21-12-2022 Multi-Timescale Representation Learning of Human and Robot Haptic Interactions The sense of touch is one of the most crucial components of the human sensory system. It allows us to safely and intelligently interact with the physical objects and environment around us. By simply touching or dexterously manipulating an object, we can quickly infer a multitude of its properties. For more than fifty years, researchers have studied how humans physically explore and form perceptual representations of objects. Some of these works proposed the paradigm through which human haptic exploration is presently understood: humans use a particular set of exploratory procedures to... Katherine J. Kuchenbecker Ben Richardson

Haptic Intelligence Talk Andreas Noll 16-12-2022 Vibrotactile Communications: Delivering Immersive Remote Touch Experiences Vibrotactile signals play an important role in human perception of haptic interactions and object surfaces. Thus, conveying these cues with high quality is vital for an immersive and pleasant experience. In order to create true immersion, many points of interaction need to be conveyed to human users. Thus, when conveying vibrotactile cues over the internet, a large number of signal channels must be transmitted that results in a high data throughput. In order to enable this, we design efficient data compression methods. For the human user receiving the signal to perceive these signals at hig... Katherine J. Kuchenbecker

Conference 12-12-2022 - 13-12-2022 Max Planck & Amazon Science Hub Inauguration On December 12 and 13, 2022, Amazon and the Max Planck Society (MPG) will jointly host an inauguration event, celebrating the launch of our new collaboration, the Max Planck & Amazon Science Hub, and bringing together our research communities.

Haptic Intelligence IS Colloquium Jun.-Prof. Dr. rer.nat. Maria Wirzberger 08-12-2022 Interdisciplinary Pathways to Responsible Human-Technology Partnership How can we design technology in a way that optimally supports human demands in everyday life? And how can we mitigate system-generated biases to facilitate a trustworthy human-technology partnership? At the intersection of cognitive psychology, human-machine interaction, education, and artificial intelligence, my team and I apply a broad portfolio of experimental lab, field, and online studies, user-centered software development, and modeling and simulation techniques. Together with collaborators from academia, industry, and education, our ultimate goal is to design and evaluate responsible... Katherine J. Kuchenbecker

Haptic Intelligence IS Colloquium Nicolas Gerig 11-11-2022 Bio-inspired Robotics for Minimal-Invasive Surgery At the BIROMED-Lab, we work on developing novel technology to advance robot-assisted medical interventions. I will provide a short overview on our current research challenges with a focus on robot-assisted, minimally-invasive surgery. Minimal-invasive surgery results in faster patient recovery and using robotic tools allows to further enhance surgery outcome. Such robot-assisted minimal-invasive surgery is typically realized by replacing the direct manual guidance of instruments with telemanipulated or robot-guided instruments. For example, hand tremor can be filtered or the surgeons’ mo... Nataliya Rokhmanova Katherine J. Kuchenbecker

Haptic Intelligence IS Colloquium Prof. Dr. Annegret Mündermann 11-11-2022 Digital Biomarkers and Functional Biomechanics in Orthopaedics Developments in assessing joint loading during locomotion and human movement are influenced by fast-pace technological advances. Simple technical solutions for capturing human movement using wearables and cloud-based solutions lead to applications in fields less related to biomechanics. Our group generates clinical evidence for using these technical solutions for assessing relevant parameters in large cohorts, collecting data outside of the laboratory and as digital biomarkers. Moreover, we investigate the functional biomechanics of orthopaedic conditions, evaluate established and novel tre... Nataliya Rokhmanova Katherine J. Kuchenbecker

Haptic Intelligence IS Colloquium Dr. Anna-Maria Liphardt 11-11-2022 Musculoskeletal Function in Immobilization and Rheumatic Disease Immobilization and disease both affect musculoskeletal function. At the same time, functional parameters may be an indicator of disease activity in rheumatic disease and changes in the mechanical environment cause acute and long term adaptation of tissue morphology and function. This presentation will summarize effects of immobilization using bed rest or microgravity on cartilage metabolism as well es introduce experimental setups to assess musculoskeletal function in rheumatic disease. Nataliya Rokhmanova Katherine J. Kuchenbecker

Event 10-11-2022 Robot Bionic Intelligence Colloquium University of Stuttgart's Autonomous Systems and Biomedical Systems Research Units together with Max Planck Institute for Intelligent Systems proudly present three leading researchers in Robot Bionic Intelligence. Please join us for this unique and interesting colloquium.

Haptic Intelligence PhD Thesis Defense 12-10-2022 Understanding the Influence of Moisture on Fingerpad-Surface Interactions This dissertation investigates the influence of moisture on fingerpad-surface interactions from diverse perspectives. First, we examine the extent to which moisture on the finger contributes to the sensation of stickiness during contact with glass. Second, we investigate the representative material properties of a finger at three distinct moisture levels, since the softness of human skin varies significantly with moisture. The third perspective is friction; we examine how the contact conditions, including the moisture of a finger, determine the available friction force opposing lateral slid... Katherine J. Kuchenbecker Saekwang Nam

Physical Intelligence Talk Prof. Dietmar Hutmacher 26-09-2022 Ultrafast, Miniature Soft Actuators The quest for an advanced soft robotic actuator technology that is fast and can execute a wide range of application-specific tasks at multiple length scales is still ongoing. Here, we demonstrate a new design and manufacturing strategy that leads to high-speed inflatable actuators exhibiting diverse movements. Our approach leverages the concept of miniaturisation to reduce the required volume of fluid for actuation as well as fibre-reinforcement to improve the efficiency of actuators in converting delivered fluids into fast and predictable movement. To fabricate the designs, we employ a cla... Metin Sitti

Perceiving Systems Talk Yuge Shi 22-09-2022 Combine and conquer: representation learning from multiple data distributions It is becoming less and less controversial to say that the days of learning representations through label supervision are over. Recent work discovers that such regimes are not only expensive, but also suffer from various generalisation/robustness issues. This is somewhat unsurprising, as perceptual data (vision, language) are rich and cannot be well represented by a single label --- doing so inevitably result in the model learning spurious features that trivially correlates to the label. In this talk, I will introduce my work during my PhD at Oxford, which looks at representation learning... Yao Feng

Physical Intelligence Talk Prof. Kaushik Jayaram 22-09-2022 Towards robust and autonomous locomotion in cluttered terrain using insect-scale robots Animals such as mice, cockroaches and spiders have the remarkable ability to maneuver through challenging cluttered natural terrain and have been inspiration for adaptable legged robotic systems. Recent biological research further indicates that body reorientation along pathways of minimal energy is a key factor influencing such locomotion. We propose to extend this idea by hypothesizing that body compliance of soft bodied animals and robots might be an alternate yet effective locomotion strategy to squeeze through cluttered obstacles. We present some early results related to the above usin... Metin Sitti

Haptic Intelligence Talk Laurence Willemet 20-09-2022 On the tactile perception of friction in humans and robots Humans excel at grasping and manipulating an impressive range of objects of different sizes, shapes, and surface properties. This incredible ability is subserved by a refined tactile perception of friction that informs the central nervous system whether the object is firmly grasped or on the verge of falling. In this talk, I will first dive into how minute lateral displacement enables humans to feel the frictional strength of the contact and how far they are from it in order to adjust their grip force in real time. I will then show how these findings are applied to robotic tactile sensors t... Katherine J. Kuchenbecker Saekwang Nam

Haptic Intelligence Talk Yarden Sharon 19-09-2022 Robotic surgical skill evaluation and acquisition Robot-assisted minimally invasive surgery (RAMIS) has many advantages over open surgery. However, surgeons must be well trained to use the robotic systems to reap the benefits of RAMIS. Many efforts have been invested in optimizing the way RAMIS surgeons acquire technical skills, but the knowledge of how to measure technical skills and optimize training protocols is still limited. The goal of my Ph.D. study is to improve the way surgeons acquire RAMIS skills by (1) developing surgical skill metrics to evaluate the current state of a surgeon; (2) developing and testing novel training protoco... Katherine J. Kuchenbecker Guido Caccianiga

Talk Alejandro Pardo 08-09-2022 Computer Vision for Automated Video Editing and Understanding. Video content creation has boomed in recent years. Every day hundreds of thousands of video hours are uploaded to the internet. Thus, video content editing has become more popular and accessible to amateur users. However, current Computer Vision (CV) techniques have not studied technologies to help video editing become a less tedious task. Currently, editors spend hours cutting and stitching videos to deliver final edited videos that convey stories. This cutting process is creative but is often repetitive. With the recent advances in CV, one would expect that a system could learn some cutti... Hongwei Yi

Perceiving Systems Talk Alejandro Pardo 08-09-2022 Computer Vision for Automated Video Editing and Understanding. Video content creation has boomed in recent years. Every day hundreds of thousands of video hours are uploaded to the internet. Thus, video content editing has become more popular and accessible to amateur users. However, current Computer Vision (CV) techniques have not studied technologies to help video editing become a less tedious task. Currently, editors spend hours cutting and stitching videos to deliver final edited videos that convey stories. This cutting process is creative but is often repetitive. With the recent advances in CV, one would expect that a system could learn some cutti... Hongwei Yi

Haptic Intelligence Talk Zhaoyang Li 01-09-2022 Soft Transducers for Human-Machine Interaction Human-machine and human-human virtual interactions have presented a growing area for different kinds of soft transducers including sensors and actuators. However, there are still challenges for soft transducers in their performance. For soft sensors, one key challenge is how to make them super sensitive to external stimuli (pressing, stretching, etc) and small (lightweight and thin). For soft actuators, one key challenge is to drive them with low voltage amplitude and generate high output force. In this talk, I will present my work on electret materials based soft transducers that can serve... Katherine J. Kuchenbecker Natalia Sanchez-Tamayo

Haptic Intelligence IS Colloquium Prof. dr. J. B. J. (Jeroen) Smeets 18-08-2022 Grasping like Humans Do Humans and robots frequently pick up objects. Neuroscientists try to understand how humans control the non-linear musculoskeletal system to do so, and roboticists try to design control to mimic human dexterity. Both groups of scientists tend to decompose grasping based on the characteristics of the hardware, which is clearly separated in a part for positioning the hand/gripper in space and a part for the actual griping. It is therefore generally assumed that mastering these two parts constitutes efficient control of the reach-to-grasp movement. I will argue that human motor control is not f... Katherine J. Kuchenbecker Ilona Jacobi

Perceiving Systems Talk Xucong Zhang 11-08-2022 Gaze Estimation and Its Application Human eye gaze is an important non-verbal cue to estimate the user attention and intention. In this talk, I will present our works over past few years on appearance-based gaze estimation, which takes input frame from a single webcam. I will start with introduction of our work on proposing new datasets such as MPIIFaceGaze, ETH-XGaze, and EVE datasets. And then I will introduce methods such as GazeNet, full face gaze estimation, and gaze redirection. At last, I will briefly introduce applications of our method in real-world settings. Xu Chen

Perceiving Systems Talk Zenghao Chai 04-08-2022 REALY: Rethinking the Evaluation of 3D Face Reconstruction The evaluation of 3D face reconstruction results typically relies on a rigid shape alignment between the estimated 3D model and the ground-truth scan. We observe that aligning two shapes with different reference points can largely affect the evaluation results. This poses difficulties for precisely diagnosing and improving a 3D face reconstruction method. In this paper, we propose a novel evaluation approach with a new benchmark REALY, consisting of 100 globally aligned face scans with accurate facial keypoints, high-quality region masks, and topology-consistent meshes. Our approach perform... Yandong Wen

Perceiving Systems Talk Lingchen Yang 28-07-2022 Implicit Neural Representation for Physics-driven Actuated Soft Bodies Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation. Similar to recent work, this paper utilizes a differentiable, quasi-static, and physics-based simulation layer to optimize for actuation signals parameterized by neural networks. Our key contribution is a general and implicit formulation to control active soft bodies by defining a function that enables a continuous mapping from a spatial point in the material space to the actuation value. This property allows us to capture the signal's dominant frequencies, making the method discre... Yao Feng

Perceiving Systems Talk Supreeth Narasimhaswamy 28-07-2022 Understanding Human Hands in Visual Data Hands are the central means by which humans interact with their surroundings. Understanding human hands help human behavior analysis and facilitate other visual analysis tasks such as action and gesture recognition. Recently, there has been a surge of interest in understanding first-person visual data, and hands are the dominant interaction entities in such activities. Also, there is an explosion of interest in developing computer vision methods for augmented and virtual reality. To deliver an authentic augmented and virtual reality experience, we need to enable humans to interact with the ... Sai Kumar Dwivedi Dimitris Tzionas

Perceiving Systems Talk Michael Zollhoefer 27-07-2022 Complete Codec Telepresence Imagine two people, each of them within their own home, being able to communicate and interact virtually with each other as if they are both present in the same shared physical space. Enabling such an experience, i.e., building a telepresence system that is indistinguishable from reality, is one of the goals of Reality Labs Research (RLR) in Pittsburgh. To this end, we develop key technology that combines fundamental computer vision, machine learning, and graphics techniques based on a novel neural reconstruction and rendering paradigm. In this talk, I will cover our advances towards a neur... Yao Feng

Robotic Materials Talk Prof. Reimund Gerhard 25-07-2022 ELECTRETS (Dielectrics with quasi-permanent Charges or Dipoles) A long History and a bright Future Electrets have a long history starting more 2600 years ago and a bright future in the areas of soft transducers, plastic electronics, radiation dosimeters, air filters, etc. From the beginning, the similarities, the differences, and the combinations of dielectric and magnetic materials, of positive and negative “electricities”, of internal hetero-charges and external homo-charges, etc. have been puzzling natural philosophers and scientists. At the same time, rather slow, but continuous progress in the understanding and the application of electrets has been made. Recently, the essential role... Christoph Keplinger

Event 22-07-2022 2022 Max Planck Lecture & Intelligent Systems Summer Colloquium The Max Planck Institute for Intelligent Systems is delighted to invite you to its 2022 Max Planck Lecture and annual scientific summer colloquium. Metin Sitti Matthias Tröndle Barbara Kettemann

Max Planck Lecture Zhenan Bao 22-07-2022 Skin-Inspired Organic Electronics Zhenan Bao is an inspiring scientist who is a world-renowned chemist, chemical engineer and material scientist and who has received so many awards it becomes challenging to count. She teaches at Stanford University in the heart of Silicon Valley where she and her team develop the most dazzling flexible and stretchable materials, electronics and energy devices which are inspired by human skin. On Friday, July 22, 2022 from 1:30pm, Zhenan Bao will hold this year’s Max Planck Lecture titled "Skin-Inspired Organic Electronics" at the Stuttgart site of the MPI-IS – live and in-person just as bef... Metin Sitti Matthias Tröndle Barbara Kettemann

Learning and Dynamical Systems Talk Anastasios Angelopoulos 14-07-2022 Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks As we begin deploying machine learning models in consequential settings like medical diagnostics or self-driving vehicles, we need ways of knowing when the model may make a consequential error (for example, that the car doesn't hit a human). Michael Muehlebach

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