Rohan Chandra
収録論文 38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
- HumAIN: Human-Aware Implicit Social Robot Navigation2026/7/1
- Dynamic Control Barrier Function Regulation with Vision-Language Models for Safe, Adaptive, and Realtime Visual Navigation2026/3/1
- Prompt-Driven Domain Adaptation for End-to-End Autonomous Driving via In-Context RL2025/11/1
- FACA: Fair and Agile Multi-Robot Collision Avoidance in Constrained Environments with Dynamic Priorities2025/11/1
- Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving2025/11/1
- DR. Nav: Semantic-Geometric Representations for Proactive Dead-End Recovery and Navigation2025/11/1
- Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms2025/8/1
- GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments2025/3/1
- LIVEPOINT: Fully Decentralized, Safe, Deadlock-Free Multi-Robot Control in Cluttered Environments with High-Dimensional Inputs2025/3/1
- LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments2024/12/1
- Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation2024/9/1
- Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes2024/8/1
- GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control2024/5/1
- Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds2024/5/1
- Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds2023/9/1
- Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions2023/8/1
- Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization2023/6/1
- Principles and Guidelines for Evaluating Social Robot Navigation Algorithms2023/6/1
- iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning2023/6/1
- SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces2023/3/1
- SOCIALMAPF: Optimal and Efficient Multi-Agent Path Finding with Strategic Agents for Social Navigation2022/10/1
- Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers2022/5/1
- GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections2022/2/1
- Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior2021/11/1
- GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging2021/9/1
- METEOR:A Dense, Heterogeneous, and Unstructured Traffic Dataset With Rare Behaviors2021/9/1
- GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments2021/3/1
- StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories2020/11/1
- B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving2020/11/1
- CMetric: A Driving Behavior Measure Using Centrality Functions2020/3/1
- DenseCAvoid: Real-time Navigation in Dense Crowds using Anticipatory Behaviors2020/2/1
- Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs2019/12/1
- STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits2019/10/1
- GraphRQI: Classifying Driver Behaviors Using Graph Spectrums2019/10/1
- RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs2019/7/1
- DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features2019/6/1
- RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments2019/6/1
- TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions2018/12/1