Events & Talks

Perceiving Systems Talk Vittorio Ferrari 07-08-2020 Our Recent Research on 3D Deep Learning I will present three recent projects within the 3D Deep Learning research line from my team at Google Research: (1) a deep network for reconstructing the 3D shape of multiple objects appearing in a single RGB image (ECCV'20). (2) a new conditioning scheme for normalizing flow models. It enables several applications such as reconstructing an object's 3D point cloud from an image, or the converse problem of rendering an image given a 3D point cloud, both within the same modeling framework (CVPR'20); (3) a neural rendering framework that maps a voxelized object into a high quality image. It re... Yinghao Huang Arjun Chandrasekaran

Perceiving Systems Talk Antonio Torralba 28-07-2020 Learning from vision, touch and audition Babies learn with very little supervision, and, even when supervision is present, it comes in the form of an unknown spoken language that also needs to be learned. How can kids make sense of the world? In this work, I will show that an agent that has access to multimodal data (like vision, audition or touch) can use the correlation between images and sounds to discover objects in the world without supervision. I will show that ambient sounds can be used as a supervisory signal for learning to see and vice versa (the sound of crashing waves, the roar of fast-moving cars – sound conveys impor... Arjun Chandrasekaran

Haptic Intelligence Talk Yitian Shao 28-07-2020 Tactile Sensing, Information, and Feedback via Wave Propagation A longstanding goal of engineering has been to realize haptic interfaces that can convey realistic sensations of touch, comparable to signals presented via visual or audio displays. Today, this ideal remains far from realization, due to the difficulty of characterizing and electronically reproducing the complex and dynamic tactile signals that are produced during even the simplest touch interactions. In this talk, I will present my work on capturing whole-hand tactile signals, in the form of mechanical waves, produced during natural hand interactions. I will describe how I characterized the... Katherine J. Kuchenbecker

Event 24-07-2020 Intelligente Systeme Sommer-Kolloquium 2020 (Virtuelles Event) Das MPI-IS lädt Sie herzlich zum Sommer-Kolloquium 2020 ein

Physical Intelligence Talk Dr. Dieter Nees 22-07-2020 Large-Area Fabrication of Nanoscale Features by UV-NIL @ JR MATERIALS Roll-to-roll UV nanoimprint lithography (R2R-UV-NIL) gains increasing industrial interest for large area nano- and micro-structuring of flexible substrates because it combines nanometer resolution with many square meter per minute productivity. Small-area masters of functional nano and micro surface structures are readily available by various lithographic techniques like e.g. UV-, e-beam- or interference lithography. However, the upscaling of small-area nano- and micro-structured masters into medium size roller molds – often called shims - for R2R-UV-NIL production still remains a bottlene...

Perceiving Systems Talk Artsiom Sanakoyeu 22-07-2020 Learning Dense Correspondences for Animals with limited supervision and Improving Generalization for Deep Metric Learning Learning the embedding space, where semantically similar objects are located close together and dissimilar objects far apart, is a cornerstone of many computer vision applications. Existing approaches usually learn a single metric in the embedding space for all available data points,which may have a very complex non-uniform distribution with different notions of similarity between objects, e.g. appearance, shape, color or semantic meaning. We approach this problem by using the embedding space more efficiently by jointly splitting the embedding space and data into K smaller sub-problems. It ... Nikos Athanasiou

Perceiving Systems Talk Angela Dai 16-07-2020 Towards Commodity 3D Scanning for Content Creation In recent years, commodity 3D sensors have become widely available, spawning significant interest in both offline and real-time 3D reconstruction. While state-of-the-art reconstruction results from commodity RGB-D sensors are visually appealing, they are far from usable in practical computer graphics applications since they do not match the high quality of artist-modeled 3D graphics content. One of the biggest challenges in this context is that obtained 3D scans suffer from occlusions, thus resulting in incomplete 3D models. In this talk, I will present a data-driven approach towards genera... Yinghao Huang

Perceiving Systems Talk William T. Freeman 13-07-2020 Learning from videos played forwards, backwards, fast, and slow How can we tell that a video is playing backwards? People's motions look wrong when the video is played backwards--can we develop an algorithm to distinguish forward from backward video? Similarly, can we tell if a video is sped-up? We have developed algorithms to distinguish forwards from backwards video, and fast from slow. Training algorithms for these tasks provides a self-supervised task that facilitates human activity recognition. We'll show these results, and applications of these unsupervised video learning tasks, including a method to change the timing of people in videos. Yinghao Huang

Perceiving Systems Talk Matthias Nießner 10-07-2020 Learning Non-rigid Optimization Applying data-driven approaches to non-rigid 3D reconstruction has been difficult, which we believe can be attributed to the lack of a large-scale training corpus. One recent approach proposes self-supervision based on non-rigid reconstruction. Unfortunately, this method fails for important cases such as highly non-rigid deformations. We first address this problem of lack of data by introducing a novel semi-supervised strategy to obtain dense interframe correspondences from a sparse set of annotations. This way, we obtain a large dataset of 400 scenes, over 390,000 RGB-D frames, and 2,537 d... Vassilis Choutas

Perceiving Systems Talk Dushyant Mehta 02-07-2020 Real-time Multi-person 3D Motion Capture with a Single RGB Camera In our recent work, XNect, we propose a real-time solution for the challenging task of multi-person 3D human pose estimation from a single RGB camera. To achieve real-time performance without compromising on accuracy, our approach relies on a new efficient Convolutional Neural Network architecture, and a multi-staged pose formulation. The CNN architecture is approx. 1.3x faster than ResNet-50, while achieving the same accuracy on various tasks, and the benefits extend beyond inference speed to a much smaller training memory footprint and a much higher training throughput. The proposed pose ... Yinghao Huang

Max Planck Lecture Yoshua Bengio 23-06-2020 Machine Learning for Covid-19 Risk Awareness from Contact Tracing The Covid-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries, resulting in widespread lockdowns for emergency containment. Large-scale digital contact tracing (DCT) has emerged as a potential solution to resume economic and social activity without triggering a second outbreak. Various DCT methods have been proposed, each making trade-offs between privacy, mobility restriction, and public health. Michael Black Bernhard Schölkopf Julia Braun Oliwia Gust

Max Planck Lecture Martin Zwierlein 16-06-2020 The sound of fermions Fermions, particles with half-integer spin like the electron, proton and neutron, obey the Pauli principle: They cannot share one and the same quantum state. This “anti social” behavior is directly observed in experiments with ultracold gases of fermionic atoms: Pauli blocking in momentum space for a free Fermi gas, and in real space in gases confined to an optical lattice. When fermions interact, new, rather “social” behavior emerges, i.e. hydrodynamic flow, superfluidity and magnetism. The interplay of Pauli’s principle and strong interactions poses great difficulties to our understanding...

Perceiving Systems Talk Scott Eaton 12-06-2020 Artists+AI: Figures, Form and other Fantastical Experiments in Deep Learning In this visual feast, Scott recounts results and revelations from four years of experimentation using machine learning as a ‘creative collaborator’ in his artistic process. He makes the case that AI, rather than rendering artists obsolete, will empower us and expand our creative horizons. In this visual feast, Scott shares an eclectic range of successes and failures encountered in his efforts to create powerful, but artistically controllable neural networks to use as tools to represent and abstract the human figure. Scott also gives a behinds-the-scenes look at creating the work for his... Ahmed Osman

Perceiving Systems Talk Srinath Sridhar 10-06-2020 Canonicalization for 3D Perception In this talk, I will introduce the notion of 'canonicalization' and how it can be used to solve 3D computer vision tasks. I will describe Normalized Object Coordinate Space (NOCS), a 3D canonical container that we have developed for 3D estimation, aggregation, and synthesis tasks. I will demonstrate how NOCS allows us to address previously difficult tasks like category-level 6DoF object pose estimation, and correspondence-free multiview 3D shape aggregation. Finally, I will discuss future directions including opportunities to extend NOCS for tasks like articulated and non-rigid shape and po... Timo Bolkart

IS Colloquium Manuel Gomez Rodriguez 09-06-2020 Institute Colloquium: A Spatiotemporal Epidemic Model to Quantify the Effects of Contact Tracing, Testing, and Containment Motivated by the current COVID-19 outbreak, we introduce a novel epidemic model based on marked temporal point processes that is specifically designed to make fine-grained spatiotemporal predictions about the course of the disease in a population. Our model can make use and benefit from data gathered by a variety of contact tracing technologies and it can quantify the effects that different testing and tracing strategies, social distancing measures, and business restrictions may have on the course of the disease. Building on our model, we use Bayesian optimization to estimate the risk of ex... Bernhard Schölkopf

Haptic Intelligence Talk Valerio Ortenzi 09-06-2020 Robotic Manipulation: a Focus on Object Handovers Humans perform object manipulation in order to execute a specific task. Seldom is such action started with no goal in mind. In contrast, traditional robotic grasping (first stage for object manipulation) seems to focus purely on getting hold of the object—neglecting the goal of the manipulation. In this light, most metrics used in robotic grasping do not account for the final task in their judgement of quality and success. Since the overall goal of a manipulation task shapes the actions of humans and their grasps, the task itself should shape the metric of success. To this end, I will pre... Katherine J. Kuchenbecker

Max Planck Lecture Hanieh Fattahi 09-06-2020 Towards spectro-microscopy at extreme limits This talk is devoted to modern methods for attosecond and femtosecond laser spectro-microscopy with the special focus on applications that require extreme spatial resolution. In the first part, I discuss how high-harmonic generation by high-energy, high-power light transients holds promise to deliver the required photon flux and photon energy for attosecond pump-probe spectroscopy at high spatiotemporal resolution in order to capture electron-dynamic in matter. I demonstrate the first prototype high-energy field synthesizer based on Yb:YAG, thin-disk laser technology for generating high...

Talk Aamir Ahmad 18-05-2020 AirCap – Aerial Outdoor Motion Capture In this talk I will present an overview and the latest results of the project Aerial Outdoor Motion Capture (AirCap), running at the Perceiving Systems department. AirCap's goal is to achieve markerless and unconstrained human motion capture (MoCap) in unknown and unstructured outdoor environments. To this end, we have developed a flying MoCap system using a team of autonomous aerial robots with on-board, monocular RGB cameras. Our system is endowed with a range of novel functionalities which was developed by our group over the last 3 years. These include, i) cooperative detection and track... Katherine J. Kuchenbecker

Perceiving Systems Talk Will Smith 15-05-2020 Deep inverse rendering in the wild In this talk I will consider the problem of scene-level inverse rendering to recover shape, reflectance and lighting from a single, uncontrolled, outdoor image. This task is highly ill-posed, but we show that multiview self-supervision, a natural lighting prior and implicit lighting estimation allow an image-to-image CNN to solve the task, seemingly learning some general principles of shape-from-shading along the way. Adding a neural renderer and sky generator GAN, our approach allows us to synthesise photorealistic relit images under widely varying illumination. I will finish by briefly de... Timo Bolkart

Perceiving Systems Talk Aayush Bansal 14-05-2020 Computational Studio: A computational machinery to enhance social communication Licklider and Taylor (1968) envisioned computational machinery that could enable better communication between humans than face-to-face interaction. In the last fifty years, we have used computing to develop various means of communication, such as mail, messaging, phone calls, video conversation, and virtual reality. These are, however, a proxy of face-to-face communication that aims at encoding words, expressions, emotions, and body language at the source and decoding them reliably at the destination. The true revolution of personal computing has not begun yet because we have not been able ... Arjun Chandrasekaran Chun-Hao Paul Huang

Max Planck Lecture Marcia Babosa 12-05-2020 Water anomalies: from ice age to carbon Technological advances in laser and vacuum technology have allowed realizing a dream of the early days of quantum mechanics: controlling single, laser-cooled atoms at a quantum level. Interfacing individual atoms with ultracold gases offer new experimental approaches to unsolved problems of nonequilibrium quantum physics. Moreover, such systems allow experimentally addressing the question if and how quantum properties can boost the performance of atomic-scale devices. In this talk, I will discuss how single atoms can be controlled and probed in an ultracold gas. Understanding the impuri...

Max Planck Lecture Ronny Thomale 05-05-2020 The d-wave paradigm of unconventional superconductors As famously introduced in the context of copper oxide superconductors, Cooper pairing ofelectrons through a d-wave order parameter constitutes a central departure from theconventional microscopic picture of phonon-mediated s-wave superconductivity. Fordecades, copper oxide superconductors remained the predominant arena for d-wavepairing. In recent years, however, d-wave superconductivity witnesses significant diversification in terms of materials realizations, such as Na-doped cobaltates, pnictides atstrong hole doping, and, most recently, infinite layer nickelates as well as strontiumruthe...

Max Planck Lecture Artur Widera 28-04-2020 Engineering single-atom devices in ultracold gases Technological advances in laser and vacuum technology have allowed realizing a dream of the early days of quantum mechanics: controlling single, laser-cooled atoms at a quantum level. Interfacing individual atoms with ultracold gases offer new experimental approaches to unsolved problems of nonequilibrium quantum physics. Moreover, such systems allow experimentally addressing the question if and how quantum properties can boost the performance of atomic-scale devices. In this talk, I will discuss how single atoms can be controlled and probed in an ultracold gas. Understanding the impuri...

Max Planck Lecture Martin Wolf 21-04-2020 Ultrafast Surface Dynamics and Local Spectroscopy at the Nanoscale In a Born-Oppenheimer description, atomic motions evolve across a potential energy surface determined by the occupation of electronic states as a function of atom positions. Ultrafast photo-induced phase transitions provide a test case for how the forces and resulting nuclear motion along the reaction co-ordinate originate from a non-equilibrium population of excited electronic states. Here I discuss recent advances in time-resolved photoemission spectroscopy allowing for direct probing of the underlying fundamental steps and the transiently evolving band structure in the ultrafast phase t... Joachim Gräfe

Perceiving Systems Talk Chunyu Wang 16-04-2020 Handling Occlusion by Cross View Fusion for 3D Human Pose Estimation Accurate 3D human pose estimation has been a longstanding goal in computer vision. However, till now, it has only gained limited success in easy scenarios such as studios which have little occlusion. In this talk, I will present our two works aiming to address the occlusion problem in realistic scenarios. In the first work, we present an approach to recover absolute 3D human pose of single person from multi-view images by incorporating multi-view geometric priors in our model. It consists of two separate steps: (1) estimating the 2D poses in multi-view images and (2) recovering the 3D po... Chun-Hao Paul Huang

Max Planck Lecture Mark Dennis 14-04-2020 How to tie an optical field into a knot Tying a knot in a piece of string can be a hard practical problem.

Talk Marco Pasini 30-03-2020 MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms Traditional voice conversion methods rely on parallel recordings of multiple speakers pronouncing the same sentences. For real-world applications however, parallel data is rarely available. We propose MelGAN-VC, a voice conversion method that relies on non-parallel speech data and is able to convert audio signals of arbitrary length from a source voice to a target voice. We firstly compute spectrograms from waveform data and then perform a domain translation using a Generative Adversarial Network (GAN) architecture. An additional siamese network helps preserving speech information in the tr...

Event 26-03-2020 Girls' Day 2020 - ABGESAGT Girls‘ Day 2020 – der Stuttgarter Max-Planck-Campus macht wieder mit! 40 Schülerinnen entdecken den spannenden Beruf der Forscherin und Wissenschaftlerin. Barbara Kettemann

Perceiving Systems Talk Victoria Fernández Abrevaya 26-03-2020 Learning to Model 3D Human Face Geometry In this talk I will present an overview of our recent works that learn deep geometric models for the 3D face from large datasets of scans. Priors for the 3D face are crucial for many applications: to constrain ill posed problems such as 3D reconstruction from monocular input, for efficient generation and animation of 3D virtual avatars, or even in medical domains such as recognition of craniofacial disorders. Generative models of the face have been widely used for this task, as well as deep learning approaches that have recently emerged as a robust alternative. Barring a few exceptions, mos... Jinlong Yang

Physical Intelligence Talk Danijela Gregurec, PhD 23-03-2020 CANCELLED: Controlling biophysical properties across scales: Functional materials for cellular sensing and signal transduction In this talk I will discuss the development of functional materials and their application in modulating the biological microenvironment during cellular sensing and signal transduction. First, I’ll briefly summarize the mechanical, biochemical and physicochemical material properties that influence cellular sensing and subsequent integration with the tissues at the macroscale. Controlling signal transduction at the submicron scale, however, requires careful materials engineering to address the need for minimally invasive targeting of single proteins and for providing sufficient physical stimu...

Physical Intelligence Talk Prof. Antal Jákli 23-03-2020 Cancelled: Electro-active Ionic Elastomers Motivated by the low voltage driven actuation of ionic Electroactive Polymers (iEAPs) [1] [2], recently we began investigating ionic elastomers. In this talk I will discuss the preparation, physical characterization and electric bending actuation properties of two novel ionic elastomers; ionic polymer electrolyte membranes (iPEM)[3], and ionic liquid crystal elastomers (iLCE).[4] Both materials can be actuated by low frequency AC or DC voltages of less than 1 V. The bending actuation properties of the iPEMs are outperforming most of the well-developed iEAPs, and the not optimize...

Physical Intelligence Talk Daniel Razansky 12-03-2020 Advanced optoacoustic methods for biological discovery and precision diagnostics Optoacoustic imaging is increasingly attracting the attention of the biomedical research community due to its excellent spatial and temporal resolution, centimeter scale penetration into living tissues, versatile endogenous and exogenous optical absorption contrast. State-of-the-art implementations of multi-spectral optoacoustic tomography (MSOT) are based on multi-wavelength excitation of tissues to visualize specific molecules within opaque tissues. As a result, the technology can noninvasively deliver structural, functional, metabolic, and molecular information from living tissues. The ... Metin Sitti

Intelligent Control Systems Talk Jonas Umlauft 25-02-2020 Safe Learning Control for Gaussian Process Models Machine learning allows automated systems to identify structures and physical laws based on measured data, which is particularly useful in areas where an analytic derivation of a model is too tedious or not possible. Research in reinforcement learning led to impressive results and superhuman performance in well-structured tasks and games. However, to this day, data-driven models are rarely employed in the control of safety critical systems, because the success of a controller, which is based on these models, cannot be guaranteed. Therefore, the research presented in this talk analyzes the c... Sebastian Trimpe

Talk Dr. Mikellidou, Kyriaki 25-02-2020 The peripheral visual field

Physical Intelligence Talk Prof. CheolGi KIm 14-02-2020 Integrated spintrophoretic platform toward multiplexed cell tweezers The precise delivery of bio-functionalized matters is of great interest from the fundamental and applied viewpoints. Particularly, most existing single cell platforms are unable to achieve large scale operation with flexibility on cells and digital manipulation towards multiplex cell tweezers. Thus, there is an urgent need of innovative techniques to accomplish the automation of single cells. Recently, the flexibility of magnetic shuttling technology using nano/micro scale magnets for the manipulation of particles has gained significant advances and has been used for a wide variet...

Talk Dr. Zhang, Yanyu 10-02-2020 Neural mechanisms of feature binding: evidence from color-motion misbinding illusion

Perceiving Systems Talk Prof. Syn Schmitt 06-02-2020 Active motion generation using musculo-skeletal models Biological motion is fascinating in almost every aspect you look upon it. Especially locomotion plays a crucial part in the evolution of life. Structures, like the bones connected by joints, soft and connective tissues and contracting proteins in a muscle-tendon unit enable and prescribe the respective species' specific locomotion pattern. Most importantly, biological motion is autonomously learned, it is untethered as there is no external energy supply and typical for vertebrates, it's muscle-driven. This talk is focused on human motion. Digital models and biologically inspired ... Ahmed Osman

Talk Prof. Dr. Op de Beeck, Hans P. 31-01-2020 Understanding object vision: Correspondences and discrepancies between humans, rodents, and artificial neural networks

Talk Frank Allgöwer 30-01-2020 Systems and Control Theory for Intelligent Systems Feedback based automatic control has been a key enabling technology for many technological advances over the past 80 years. New application domains, like autonomous cars driving on automated highways, energy distribution via smart grids, life in smart cities or the new production paradigm Industry 4.0 do, however, require a new type of cybernetic systems and control theory that goes beyond some of the classical ideas. Starting from the concept of feedback and its significance in nature and technology, we will present in this talk some new developments and challenges in connection to the con... Sara Sorce Katherine J. Kuchenbecker

Talk Zeynep Akata 29-01-2020 Explaining and Representing Novel Concepts With Minimal Supervision Clearly explaining a rationale for a classification decision to an end-user can be as important as the decision itself. Existing approaches for deep visual recognition are generally opaque and do not output any justification text; contemporary vision-language models can describe image content but fail to take into account class-discriminative image properties which justify visual predictions. In this talk, I will present my past and current work on Zero-Shot Learning, Vision and Language for Generative Modeling and Explainable Machine Learning where we show (1) how to generalize image class... Sara Sorce Katherine J. Kuchenbecker

Talk Dr. Reinartz, Sebastian 29-01-2020 From spike to decision: Tactile psychophysics, electrophysiology and optogenetics.

Event 28-01-2020 - 31-01-2020 Fourth IMPRS-IS Symposium You are cordially invited to attend the talks, join in scientific discussions, and help the applicants get to know the larger IMPRS-IS community. Sara Sorce Katherine J. Kuchenbecker

Haptic Intelligence Talk Benoit Delhaye 28-01-2020 Human Tactile Afferent Responses during the Onset of Slip During manipulation, humans adjust the amount of force applied to an object depending on friction: they exert a stronger grip for slippery surfaces and a looser grip for sticky surfaces. However, the neural mechanisms signaling friction remain unclear. To fill this gap, we recorded the response of human tactile afferent during the onset of slip against flat surfaces of different frictions. We observed that some afferents responded to partial slip events occurring during transition from a stuck to a slipping contact, and potentially signaling the impending slip. Katherine J. Kuchenbecker Ilona Jacobi

Haptic Intelligence Talk Nataliya Rokhmanova 27-01-2020 Vibrotactile Devices: Haptic Feedback to Enhance Sensation or Modify Gait Wearable sensing and feedback devices are becoming increasingly ubiquitous for measuring human movement in research laboratories, medical clinics, and in consumer goods. Advances in computation and miniaturization have enabled sensing for gait assessment; these technologies are then used in interventions to provide feedback that facilitates changes in gait or enhances sensory capabilities. This talk will focus on vibration as the primary method of providing feedback. I will discuss the use of vibrotactile arrays to communicate plantar foot pressure in users of lower-limb prosthetics, as a s... Katherine J. Kuchenbecker Ilona Jacobi

Haptic Intelligence Talk Maxim Likhachev 24-01-2020 Search-Based Planning for High-Dimensional Robotic Systems Search-based Planning refers to planning by constructing a graph from systematic discretization of the state- and action-space of a robot and then employing a heuristic search to find an optimal path from the start to the goal vertex in this graph. This paradigm works well for low-dimensional robotic systems such as mobile robots and provides rigorous guarantees on solution quality. However, when it comes to planning for higher-dimensional robotic systems such as mobile manipulators, humanoids and ground and aerial vehicles navigating at high-speed, Search-based Planning has been typically ... Katherine J. Kuchenbecker Ilona Jacobi

Intelligent Control Systems Talk Prof. Karl H. Johansson 20-01-2020 Cyber security and privacy in networked control systems Security and privacy is of growing concern in many control applications. Cyber attacks are frequently reported for a variety of industrial and infrastructure systems. For more than a decade the control community has developed techniques for how to design control systems resilient to cyber-physical attacks. In this talk, we will review some of these results. In particular, as cyber and physical components of networked control systems are tightly interconnected, it is be argued that traditional IT security focusing only on the cyber part does not provide appropriate solutions. Modeling the ob... Sebastian Trimpe Dominik Baumann

IS Colloquium Moritz Hardt 09-01-2020 Dynamics of Decisions Machine learning increasingly supports consequential decisions in domains including health, employment, and criminal justice. Consequential decision making is inherently dynamic: Individuals, their outcomes, and entire populations can change and adapt in response to classification. Traditional machine learning, however, fails to account for such dynamic effects. In this talk, I will highlight three different vignettes of dynamic decision making. The first is about how classification changes populations and how this perspective is essential to questions of fairness in machine learning. The ... Metin Sitti

Physical Intelligence IS Colloquium Katia Bertoldi 09-01-2020 Kirigami-Inspired Metamaterials - from Morphable Structures to Soft Robots In the search for materials with new properties, there have been great advances in recent years aimed at the construction of mechanical systems whose behaviour is governed by structure, rather than composition. Through careful design of the material’s architecture, new material properties have been demonstrated, including negative Poisson’s ratio, high stiffness-to-weight ratio and mechanical cloaking. While originally the field focused on achieving unusual (zero or negative) values for familiar mechanical parameters, more recently it has been shown that non-linearities can be exploited to ... Metin Sitti

IS Colloquium Dr. Ksenia Keplinger 19-12-2019 Helping leaders and organizations unleash the true potential of diversity and inclusion in our radically transforming world of work Recent economic, technological, and societal changes (e.g., the shift from large organizations to decentralized networks of individuals/small businesses, #metoo movement) require organizations to adapt to the transforming nature of work by altering the way work is performed and the roles that workers play. Due to globalization and advanced communication technologies, modern organizations are also characterized by a diverse workforce that needs to be carefully managed. Therefore organizational leaders must take on the challenge of unleashing the true potential of diversity and inclusion by c... Katherine J. Kuchenbecker

Physical Intelligence Talk Ye Zhao 19-12-2019 Robust Planning and Decision -- Towards Safe Robot Tasks and Motions in Complex Environments The demand for safe, robust, and intelligent robotic systems is growing rapidly, given their potential to make our societies more productive and increase our welfare. To achieve this, robots are increasingly expected to operate in human-populated environments, maneuver in remote and cluttered environments, maintain and repair facilities, take care of our health, and streamline manufacturing and assembly lines. However, computational issues limit the ability of robots to plan complex motions in constrained and contact-rich environments, interact with humans safely, and exploit dynamics to gr... Metin Sitti

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