Sotabase

Career

· Group Leader, Autonomous Motion Department (AMD), Max Planck Institute for Intelligent Systems2012–2017
· Associate Professor, Stanford University2012–
· Master of Science in Art and Technology, Chalmers University of Technology
· PhD Student, Division of Robotics, Perception and Learning (RPL), KTH Royal Institute of Technology
· Diploma in Computer Science, Technical University of Dresden

Publications (333)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Data-Driven Grasp Synthesis—A Survey
IEEE Transactions on robotics · 2013
1,074
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
IEEE International Conference on Robotics and Automation · 2018
409
cited
TidyBot: Personalized Robot Assistance with Large Language Models
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
394
cited
Text2Motion: from natural language instructions to feasible plans
Autonomous Robots · 2023
367
cited
Interactive Perception: Leveraging Action in Perception and Perception in Action
IEEE Transactions on robotics · 2016
328
cited
Leveraging big data for grasp planning
IEEE International Conference on Robotics and Automation · 2015
302
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Vision-Only Robot Navigation in a Neural Radiance World
IEEE Robotics and Automation Letters · 2021
279
cited
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
IEEE Transactions on robotics · 2019
250
cited
Deep Learning Approaches to Grasp Synthesis: A Review
IEEE Transactions on robotics · 2022
231
cited
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
224
cited
Concept2Robot: Learning manipulation concepts from instructions and human demonstrations
Robotics: Science and Systems · 2020
222
cited
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
IEEE International Conference on Computer Vision · 2019
217
cited
Automatic LQR tuning based on Gaussian process global optimization
IEEE International Conference on Robotics and Automation · 2016
176
cited
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects
IEEE Robotics and Automation Letters · 2019
169
cited
Probabilistic 3D Multi-Object Tracking for Autonomous Driving
arXiv.org · 2020
150
cited
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
IEEE International Conference on Robotics and Automation · 2020
147
cited
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