Anirudha Majumdar
収録論文 62本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation2026/6/1
- Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison2026/3/1
- PlayWorld: Learning Robot World Models from Autonomous Play2026/3/1
- LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer2026/2/1
- Video Generation Models in Robotics -- Applications, Research Challenges, Future Directions2026/1/1
- Evaluating Gemini Robotics Policies in a Veo World Simulator2025/12/1
- World Models That Know When They Don't Know - Controllable Video Generation with Calibrated Uncertainty2025/12/1
- Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators2025/10/1
- Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer2025/10/1
- Geometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields2025/10/1
- Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors2025/9/1
- Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting2025/9/1
- WoMAP: World Models For Embodied Open-Vocabulary Object Localization2025/6/1
- VERDI: VLM-Embedded Reasoning for Autonomous Driving2025/5/1
- Guiding Data Collection via Factored Scaling Curves2025/5/1
- SciFi-Benchmark: Leveraging Science Fiction To Improve Robot Behavior2025/3/1
- Generating Robot Constitutions & Benchmarks for Semantic Safety2025/3/1
- Gemini Robotics: Bringing AI into the Physical World2025/3/1
- Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping2025/3/1
- Predictive Red Teaming: Breaking Policies Without Breaking Robots2025/2/1
- SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps2025/2/1
- Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust2024/10/2
- Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust2024/10/1
- Diffusion Policy Policy Optimization2024/9/1
- Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception2024/3/1
- Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction2024/3/1
- Explore until Confident: Efficient Exploration for Embodied Question Answering2024/3/1
- Privacy-Preserving Map-Free Exploration for Confirming the Absence of a Radioactive Source2024/2/1
- Foundation Models in Robotics: Applications, Challenges, and the Future2023/12/1
- MonoNav: MAV Navigation via Monocular Depth Estimation and Reconstruction2023/11/1
- Physically Grounded Vision-Language Models for Robotic Manipulation2023/9/1
- Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners2023/7/1
- Online Learning for Obstacle Avoidance2023/6/1
- AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer2023/2/1
- Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions2022/11/1
- FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors2022/10/1
- Leveraging Language for Accelerated Learning of Tool Manipulation2022/6/1
- Fundamental Limits for Sensor-Based Robot Control2022/2/1
- Towards a Framework for Comparing the Complexity of Robotic Tasks2022/2/1
- Failure Prediction with Statistical Guarantees for Vision-Based Robot Control2022/2/1
- Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees2022/1/1
- Learning Provably Robust Motion Planners Using Funnel Libraries2021/11/1
- Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data2021/11/1
- Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy2021/9/1
- Distributionally Robust Policy Learning via Adversarial Environment Generation2021/7/1
- Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning2021/6/1
- Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking2021/2/1
- Learning to Actively Reduce Memory Requirements for Robot Control Tasks2020/8/1
- Generalization Guarantees for Imitation Learning2020/8/1
- CoNES: Convex Natural Evolutionary Strategies2020/7/1
- Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning2020/6/1
- Learning Task-Driven Control Policies via Information Bottlenecks2020/2/1
- Probably Approximately Correct Vision-Based Planning using Motion Primitives2020/2/1
- A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics2019/8/1
- Task-Driven Estimation and Control via Information Bottlenecks2018/9/1
- PAC-Bayes Control: Learning Policies that Provably Generalize to Novel Environments2018/6/1
- Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods2017/11/1
- How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics2017/10/1
- Funnel Libraries for Real-Time Robust Feedback Motion Planning2016/1/1
- Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making2015/4/1
- Technical Report: Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures2013/5/1
- Control Design along Trajectories with Sums of Squares Programming2012/10/1