Anirudha Majumdar

发表

Convex optimization of nonlinear feedback controllers via occupation measures

Russ Tedrake, Ram Vasudevan, Mark M. Tobenkin, 2013, Int. J. Robotics Res..

Convex optimization of nonlinear feedback controllers via occupation measures

Russ Tedrake, Ram Vasudevan, Mark M. Tobenkin, 2013, Int. J. Robotics Res..

Funnel libraries for real-time robust feedback motion planning

Russ Tedrake, Anirudha Majumdar, Russ Tedrake, 2016, Int. J. Robotics Res..

Robust Online Motion Planning with Regions of Finite Time Invariance

Russ Tedrake, Anirudha Majumdar, Russ Tedrake, 2012, WAFR.

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models

Marco Pavone, Sumeet Singh, Anirudha Majumdar, 2017, Robotics: Science and Systems.

Complexity of ten decision problems in continuous time dynamical systems

Amir Ali Ahmadi, Russ Tedrake, Anirudha Majumdar, 2012, 2013 American Control Conference.

Control and verification of high-dimensional systems with DSOS and SDSOS programming

Amir Ali Ahmadi, Russ Tedrake, Anirudha Majumdar, 2014, 53rd IEEE Conference on Decision and Control.

Learning Task-Driven Control Policies via Information Bottlenecks pdf

Anirudha Majumdar, Vincent Pacelli, Anirudha Majumdar, 2020, Robotics: Science and Systems.

Characterization of Dynamic Behaviors in a Hexapod Robot

Daniel E. Koditschek, Haldun Komsuoglu, Anirudha Majumdar, 2010, ISER.

Robust online motion planning via contraction theory and convex optimization

Marco Pavone, Sumeet Singh, Jean-Jacques E. Slotine, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Multi-Query Feedback Motion Planning with LQR-Roadmaps

Russ Tedrake, Anirudha Majumdar, 2011 .

Robust feedback motion planning via contraction theory

J. Slotine, Anirudha Majumdar, Benoit Landry, 2023, Int. J. Robotics Res..

Hardness Results and Algebraic Relaxations for Control of Underactuated Robots

Amir Ali Ahmadi, Anirudha Majumdar, 2012 .

Distributionally Robust Policy Learning via Adversarial Environment Generation

Allen Z. Ren, Anirudha Majumdar, 2021, IEEE Robotics and Automation Letters.

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control

Allen Z. Ren, Anirudha Majumdar, Alec Farid, 2022, Robotics: Science and Systems.

Robust Online Motion Planning with Reachable Sets by Anirudha

Anirudha Majumdar, 2013 .

Towards a Framework for Comparing the Complexity of Robotic Tasks

Anirudha Majumdar, Alec Farid, Michelle Ho, 2022, WAFR.

Leveraging Language for Accelerated Learning of Tool Manipulation

Allen Z. Ren, Karthik Narasimhan, Anirudha Majumdar, 2022, CoRL.

Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning

Anirudha Majumdar, Vincent Pacelli, 2022, Robotics: Science and Systems XVIII.

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees

Allen Z. Ren, J. Fisac, Kai Hsu, 2022, ArXiv.

Distributionally Robust Policy Learning via Adversarial Environment Generation

Allen Z. Ren, Anirudha Majumdar, 2021, IEEE Robotics and Automation Letters.

Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data

Allen Z. Ren, Anirudha Majumdar, Sushant Veer, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions

Anirudha Majumdar, M. Booker, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Some applications of polynomial optimization in operations research and real-time decision making

Amir Ali Ahmadi, Anirudha Majumdar, 2015, Optimization Letters.

DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization

Amir Ali Ahmadi, Anirudha Majumdar, Anirudha Majumdar, 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

Algebraic verification for parameterized motion planning libraries

Russ Tedrake, Mark M. Tobenkin, Anirudha Majumdar, 2012, 2012 American Control Conference (ACC).

Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods

Marco Pavone, Sumeet Singh, Jonathan Lacotte, 2017, Int. J. Robotics Res..

Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning

Sushant Veer, Anirudha Majumdar, Alec Farid, 2021, 2106.13703.

Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning pdf

Sushant Veer, Anirudha Majumdar, Alec Farid, 2021, CoRL.

A Regret Minimization Approach to Iterative Learning Control

Naman Agarwal, Elad Hazan, Anirudha Majumdar, 2021, ICML.

Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking pdf

Naman Agarwal, Elad Hazan, Daniel Suo, 2021, ArXiv.

A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms

Marco Pavone, Sumeet Singh, Yinlam Chow, 2019, IEEE Transactions on Automatic Control.

Robust online motion planning with reachable sets

Anirudha Majumdar, Anirudha Majumdar, 2013 .

Generalization Guarantees for Imitation Learning

Allen Z. Ren, Anirudha Majumdar, Sushant Veer, 2020, CoRL.

Generalization Guarantees for Multi-Modal Imitation Learning

Allen Z. Ren, Anirudha Majumdar, Sushant Veer, 2020, ArXiv.

Control design along trajectories with sums of squares programming

Amir Ali Ahmadi, Russ Tedrake, Anirudha Majumdar, 2012, 2013 IEEE International Conference on Robotics and Automation.

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics pdf

Marco Pavone, Anirudha Majumdar, Anirudha Majumdar, 2017, ISRR.

Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning

Anirudha Majumdar, Vincent Pacelli, Anoopkumar Sonar, 2020, L4DC.

PAC-Bayes control: learning policies that provably generalize to novel environments

Anirudha Majumdar, Anoopkumar Sonar, Alec Farid, 2018, Int. J. Robotics Res..

PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments

Anirudha Majumdar, Maxwell Goldstein, Anirudha Majumdar, 2018, CoRL.

LagNetViP: A Lagrangian Neural Network for Video Prediction pdf

Naomi Ehrich Leonard, Sushant Veer, Anirudha Majumdar, 2020, ArXiv.

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees

Allen Z. Ren, J. Fisac, Kai Hsu, 2022, Artificial Intelligence.

Learning Provably Robust Motion Planners Using Funnel Libraries pdf

Sushant Veer, Anirudha Majumdar, Ali Ekin Gurgen, 2021, ArXiv.

Probably Approximately Correct Vision-Based Planning using Motion Primitives

Anirudha Majumdar, Sushant Veer, 2020, CoRL.

A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics pdf

Amir Ali Ahmadi, Anirudha Majumdar, Georgina Hall, 2019, Annu. Rev. Control. Robotics Auton. Syst..

Some applications of polynomial optimization in operations research and real-time decision making

Amir Ali Ahmadi, Anirudha Majumdar, Anirudha Majumdar, 2015, Optimization Letters.

DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization pdf

Amir Ali Ahmadi, Anirudha Majumdar, Anirudha Majumdar, 2017, SIAM J. Appl. Algebra Geom..

Task-Driven Estimation and Control via Information Bottlenecks

Anirudha Majumdar, Vincent Pacelli, Anirudha Majumdar, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability

Anirudha Majumdar, Alec Farid, Anirudha Majumdar, 2021, NeurIPS.

PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability

Anirudha Majumdar, Alec Farid, 2021, ArXiv.

Learning to Actively Reduce Memory Requirements for Robot Control Tasks

Anirudha Majumdar, Meghan Booker, Anirudha Majumdar, 2020, L4DC.

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Allen Z. Ren, Stephen Tu, Andy Zeng, 2023, ArXiv.

Generating Adversarial Disturbances for Controller Verification

Elad Hazan, Anirudha Majumdar, Udaya Ghai, 2020, L4DC.

Comparing the Complexity of Robotic Tasks

Anirudha Majumdar, Alec Farid, Michelle Ho, 2022, ArXiv.

CoNES: Convex Natural Evolutionary Strategies pdf

Sushant Veer, Anirudha Majumdar, Anirudha Majumdar, 2020, ArXiv.

Safety verification of reactive controllers for UAV flight in cluttered environments using barrier certificates

Russ Tedrake, Anirudha Majumdar, Andrew J. Barry, 2012, 2012 IEEE International Conference on Robotics and Automation.

Online Learning for Obstacle Avoidance

Elad Hazan, Anirudha Majumdar, Daniel Suo, 2023, CoRL.

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Allen Z. Ren, Stephen Tu, Andy Zeng, 2023, CoRL.

Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy pdf

Anirudha Majumdar, Vincent Pacelli, Anirudha Majumdar, 2021, 2022 International Conference on Robotics and Automation (ICRA).

AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer

Allen Z. Ren, Hongkai Dai, Anirudha Majumdar, 2023, ArXiv.

DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization

Amir Ali Ahmadi, Anirudha Majumdar, 2017, SIAM J. Appl. Algebra Geom..

Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source

Anirudha Majumdar, Eric Lepowsky, David Snyder, 2024, 2402.17130.

Synthesis and Optimization of Force Closure Grasps via Sequential Semidefinite Programming

Russ Tedrake, Hongkai Dai, Anirudha Majumdar, 2015, ISRR.