Sotabase

Career

· Visiting Research Scientist, Google DeepMind2023–
· Associate Professor, Princeton University2017–
· Postdoctoral Researcher, Stanford University2016–2017
· Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology2011–2016
· B.S.E. in Mechanical Engineering and Mathematics, University of Pennsylvania2007–2011
· Princeton University

Publications (101)

Funnel libraries for real-time robust feedback motion planning
Int. J. Robotics Res. · 2016
388
cited
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Conference on Robot Learning · 2023
314
cited
Foundation models in robotics: Applications, challenges, and the future
Int. J. Robotics Res. · 2023
294
cited
DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization
SIAM Journal on applied algebra and geometry · 2017
233
cited
Gemini Robotics: Bringing AI into the Physical World
arXiv.org · 2025
222
cited
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics
International Symposium of Robotics Research · 2017
213
cited
Physically Grounded Vision-Language Models for Robotic Manipulation
IEEE International Conference on Robotics and Automation · 2023
211
cited
Robust online motion planning via contraction theory and convex optimization
IEEE International Conference on Robotics and Automation · 2017
194
cited
Control design along trajectories with sums of squares programming
IEEE International Conference on Robotics and Automation · 2012
144
cited
Convex optimization of nonlinear feedback controllers via occupation measures
Int. J. Robotics Res. · 2013
142
cited
Diffusion Policy Policy Optimization
International Conference on Learning Representations · 2024
142
cited
DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization
Annual Conference on Information Sciences and Systems · 2014
117
cited
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
Annu. Rev. Control. Robotics Auton. Syst. · 2019
112
cited
Robust Online Motion Planning with Regions of Finite Time Invariance
Workshop on the Algorithmic Foundations of Robotics · 2012
92
cited
Some applications of polynomial optimization in operations research and real-time decision making
Optimization Letters · 2015
82
cited
Control and verification of high-dimensional systems with DSOS and SDSOS programming
IEEE Conference on Decision and Control · 2014
75
cited
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms
IEEE Transactions on Automatic Control · 2019
70
cited
Explore until Confident: Efficient Exploration for Embodied Question Answering
Robotics: Science and Systems · 2024
68
cited
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
Robotics: Science and Systems · 2017
68
cited
Synthesis and Optimization of Force Closure Grasps via Sequential Semidefinite Programming
International Symposium of Robotics Research · 2015
66
cited
Sotabase
Anirudha Majumdar | Researcher Profile | Sotabase | Sotabase