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Anirudha Majumdar
Anirudha Majumdar
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Funnel libraries for real-time robust feedback motion planning
A Majumdar, R Tedrake
International Journal of Robotics Research 36 (8), 947-982, 2017
3332017
DSOS and SDSOS optimization: more tractable alternatives to sum of squares and semidefinite optimization
AA Ahmadi, A Majumdar
SIAM Journal on Applied Algebra and Geometry 3 (2), 193-230, 2019
2092019
DSOS and SDSOS optimization: more tractable alternatives to sum of squares and semidefinite optimization
AA Ahmadi, A Majumdar
SIAM Journal on Applied Algebra and Geometry 3 (2), 193-230, 2019
2012019
Robust Online Motion Planning via Contraction Theory and Convex Optimization
S Singh, A Majumdar, JJ Slotine, M Pavone
1672017
Control design along trajectories with sums of squares programming
A Majumdar, AA Ahmadi, R Tedrake
International Conference on Robotics and Automation (ICRA), 2013, 2013
1522013
Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures
A Majumdar, R Vasudevan, MM Tobenkin, R Tedrake
International Journal of Robotics Research (IJRR) 33 (9), 1209-1230, 2014
1352014
How should a robot assess risk? towards an axiomatic theory of risk in robotics
A Majumdar, M Pavone
Robotics Research, 75-84, 2020
1242020
DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization
AA Ahmadi, A Majumdar
2014 48th annual conference on information sciences and systems (CISS), 1-5, 2014
1242014
Robust online motion planning with regions of finite time invariance
A Majumdar, R Tedrake
Algorithmic foundations of robotics X, 543-558, 2013
982013
Control and verification of high-dimensional systems with DSOS and SDSOS programming
A Majumdar, AA Ahmadi, R Tedrake
IEEE Conference on Decision and Control (CDC), 394-401, 2014
90*2014
Recent scalability improvements for semidefinite programming with applications in machine learning, control, and robotics
A Majumdar, G Hall, AA Ahmadi
Annual Review of Control, Robotics, and Autonomous Systems 3, 331-360, 2020
62*2020
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
A Majumdar, S Singh, A Mandlekar, M Pavone
Robotics: Science and Systems 16, 117, 2017
582017
Some applications of polynomial optimization in operations research and real-time decision making
AA Ahmadi, A Majumdar
Optimization Letters 10 (4), 709-729, 2016
512016
Safety verification of reactive controllers for UAV flight in cluttered environments using barrier certificates
AJ Barry, A Majumdar, R Tedrake
2012 IEEE International Conference on Robotics and Automation, 484-490, 2012
512012
A framework for time-consistent, risk-sensitive model predictive control: Theory and algorithms
S Singh, Y Chow, A Majumdar, M Pavone
IEEE Transactions on Automatic Control 64 (7), 2905-2912, 2018
452018
Synthesis and Optimization of Force Closure Grasps via Sequential Semidefinite Programming
H Dai, A Majumdar, R Tedrake
International Symposium on Robotics Research (ISRR), 2015
392015
Flying between obstacles with an autonomous knife-edge maneuver
AJ Barry, T Jenks, A Majumdar, HT Lin, IG Ros, AA Biewener, R Tedrake
2014 IEEE International Conference on Robotics and Automation (ICRA), 2559-2559, 2014
352014
Algebraic verification for parameterized motion planning libraries
A Majumdar, M Tobenkin, R Tedrake
2012 American Control Conference (ACC), 250-257, 2012
232012
Robust feedback motion planning via contraction theory
S Singh, B Landry, A Majumdar, JJ Slotine, M Pavone
The International Journal of Robotics Research, 2019
222019
Invariant policy optimization: Towards stronger generalization in reinforcement learning
A Sonar, V Pacelli, A Majumdar
Learning for Dynamics and Control, 21-33, 2021
192021
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