Institute Homepage
Institute Homepage
DE
Sign In
Research
Research
Research
Research Overview
Publications
Departments
Empirical Inference
Haptic Intelligence
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
AI Safety and Alignment
Algorithms and Society
Biomimetic Materials and Machines
Computational Applied Mathematics & AI Lab
Cooperative Machine Intelligence for People-Aligned Safe Systems
Cyborg Robotics and Intelligent Sensing
Deep Models and Optimization
Embodied Social Interaction
Human Aspects of Machine Learning
Learning and Dynamical Systems
Mechanics for Intelligent Structures
Neuromechanics of Movement
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
Science and Probabilistic Intelligence
Wild, Efficient, and Innovative AI
About Us
About us
People
Faculty
People Directory
Alumni Network
Contact
Management & Boards
Contact
Directions
Our Institute
About our institute
Campus Overview
Campus Facilities
Code of Conduct
Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Max Planck Artificial Intelligence Network
Training
Internships
Planck Academy
Service
Service
Service Units
Service Overview
Administration
Scientific Coordination Office
IT Services
Building Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
Partnerships and Collaborations
Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
People
News
Events
Research
Research
Research
Research Overview
Publications
Departments
Empirical Inference
Haptic Intelligence
Perceiving Systems
Physical Intelligence
Robotic Materials
Social Foundations of Computation
Research Groups
AI Safety and Alignment
Algorithms and Society
Biomimetic Materials and Machines
Computational Applied Mathematics & AI Lab
Cooperative Machine Intelligence for People-Aligned Safe Systems
Cyborg Robotics and Intelligent Sensing
Deep Models and Optimization
Embodied Social Interaction
Human Aspects of Machine Learning
Learning and Dynamical Systems
Mechanics for Intelligent Structures
Neuromechanics of Movement
Organizational Leadership and Diversity
Robotic Composites and Compositions
Robust Machine Learning
Safety- and Efficiency- aligned Learning
Science and Probabilistic Intelligence
Wild, Efficient, and Innovative AI
About Us
About us
People
Faculty
People Directory
Alumni Network
Contact
Management & Boards
Contact
Directions
Our Institute
About our institute
Campus Overview
Campus Facilities
Code of Conduct
Points of Contact for Employees
Our History
100/10 year anniversary
Career
Career
Career
Career
Open positions
Doctoral Programs
Doctoral Programs Overview
International Max Planck Research School for Intelligent Systems
Max Planck ETH Center for Learning Systems
ELLIS PhD Program
Max Planck Artificial Intelligence Network
Training
Internships
Planck Academy
Service
Service
Service Units
Service Overview
Administration
Scientific Coordination Office
IT Services
Building Services
Welcome Service
Central Scientific Facilities
Facilities Overview
Materials
Medical Systems
Optics and Sensing Laboratory
Robotics
Scientific Computing
Software Workshop
Workshops
Workshop Overview
Fine Mechanical Workshop
Glass Workshop
Central Mechanical Workshop
Mechatronics Workshop
Campus Services
Campus Facilities
Library
Max Planck House Tübingen
Impact
Impact
Impact
Impact Overview
Diversity, Equity, and Inclusion
Sustainability
Entrepreneurship & Innovation
Cooperation
Partnerships and Collaborations
Doctoral Programs
Partners and Initiatives
Cyber Valley
European Laboratory for Learning and Intelligent Systems
ELLIS Institute Tübingen
Tübingen AI Center
People
News
Events
Back
Buse Aktaş
Robotic Composites and Compositions
Max Planck Research Group Leader
More
Website
Google Scholar
Linkedin
Overview
Buse Aktaş is an engineer and artist, and a Max Planck Research Group Leader at the Max Planck Institute for Intelligent Systems, where she leads the Robotic Composites and Compositions (RoCoCo) Group. She has an educational background in mechanical engineering, visual arts, and design; work experience in the home appliances industry; and apprenticeships in traditional crafts such as broommaking and locksmithing. Her interdisciplinary training informs a research agenda at the intersection of materials science, robotics, design, and artistic practice, with a focus on the development of active material systems that enable programmable mechanical behavior. Her research has focused on developing new families of materials and structures that enhance the mechanical interactions between robots and their environments. In particular, she has explored multidimensional, tunable mechanical behavior using jamming—a phenomenon in which clusters of components undergo phase transitions based on their internal interactions. She has designed, modeled, fabricated, and tested jamming-based functional metamaterials, and demonstrated their capabilities in robotic manipulators, wearable and surgical medical devices, and interactive art installations. She holds a Ph.D. in Engineering Sciences with a secondary field in Critical Media Practice from Harvard University, an M.A. in Design from Kadir Has University, and a B.S.E. in Mechanical and Aerospace Engineering with a certificate in Visual Arts from Princeton University. She has also been actively involved in engineering education—conducting classroom-based research on active learning, mentoring and training instructors with a focus on equity and inclusion as a Pedagogy Fellow at Harvard’s Bok Center, and serving as Lecturer for the core Mechanics of Materials course. Aktaş is a member of the Elisabeth Schiemann Kolleg and has received the ETH Zurich Postdoctoral Fellowship, along with multiple awards for academic innovation, teaching excellence, and transdisciplinary research.
This website uses cookies to ensure you get the best experience.
Learn more
.
Accept