Negar Mehr
収録論文 28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
- Any-Body Guard: Universal Safeguarding for Manipulation Policies via Action Masking2026/6/1
- Scaling Nonlinear Optimization: Many Problems One GPU2026/6/1
- Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems2026/4/1
- TACO: Temporal Consensus Optimization for Continual Neural Mapping2026/2/1
- MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies2025/9/1
- CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks2025/9/1
- UDON: Uncertainty-weighted Distributed Optimization for Multi-Robot Neural Implicit Mapping under Extreme Communication Constraints2025/9/1
- Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment2025/2/1
- DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories2025/2/1
- RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping2025/2/1
- Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints2024/12/1
- Understanding and Imitating Human-Robot Motion with Restricted Visual Fields2024/10/1
- MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games2024/10/1
- CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models2024/9/1
- Distributed NeRF Learning for Collaborative Multi-Robot Perception2024/9/1
- Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios2024/5/1
- Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds2024/5/1
- POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints2024/3/1
- Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds2024/3/1
- Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment2023/12/1
- Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach2023/10/1
- Strategic Decision-Making in Multi-Agent Domains: A Weighted Constrained Potential Dynamic Game Approach2023/8/1
- Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions2023/3/1
- Efficient Constrained Multi-Agent Trajectory Optimization using Dynamic Potential Games2022/6/1
- Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions2021/10/1
- Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis2021/9/1
- Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories2021/7/1
- RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch2020/10/1