Gaurav S. Sukhatme
収録論文 92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
- EFLUX: Elastic Multi-Robot Formation Navigation and Adaptation with Agentic LLMs2026/7/1
- Steering Multirobot Behavior via Closed-Loop Affine Activation Editing2026/6/1
- Duet: Dual-Robot Understanding via Efficient Teaching2026/6/1
- HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness2026/4/1
- Concurrent Prehensile and Nonprehensile Manipulation: A Practical Approach to Multi-Stage Dexterous Tasks2026/3/1
- LIPP: Load-Aware Informative Path Planning with Physical Sampling2026/3/1
- GAMMS: Graph based Adversarial Multiagent Modeling Simulator2026/2/1
- LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation2025/11/1
- PIP-LLM: Integrating PDDL-Integer Programming with LLMs for Coordinating Multi-Robot Teams Using Natural Language2025/10/1
- Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies2025/10/1
- SPAR: Scalable LLM-based PDDL Domain Generation for Aerial Robotics2025/9/1
- Latent Activation Editing: Inference-Time Refinement of Learned Policies for Safer Multirobot Navigation2025/9/1
- Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands2025/9/1
- Compositional Coordination for Multi-Robot Teams with Large Language Models2025/7/1
- WARPD: World model Assisted Reactive Policy Diffusion2024/10/1
- Zero-Shot Generalization of Vision-Based RL Without Data Augmentation2024/10/1
- Hierarchical LLMs In-the-Loop Optimization for Real-Time Multi-Robot Target Tracking under Unknown Hazards2024/9/1
- Resilient Multi-Robot Target Tracking with Sensing and Communication Danger Zones2024/9/1
- AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries2024/7/1
- Inverse Risk-sensitive Multi-Robot Task Allocation2024/6/1
- Active Signal Emitter Placement In Complex Environments2024/5/1
- Multi-Robot Target Tracking with Sensing and Communication Danger Zones2024/4/1
- SAFE-GIL: SAFEty Guided Imitation Learning for Robotic Systems2024/4/1
- Can Large Language Models Solve Robot Routing?2024/3/1
- Human-in-the-Loop Multi-Robot Information Gathering with Inverse Submodular Maximization2024/3/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Conditionally Combining Robot Skills using Large Language Models2023/10/1
- CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning2023/9/1
- Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning2023/9/1
- HyperPPO: A scalable method for finding small policies for robotic control2023/9/1
- LEMMA: Learning Language-Conditioned Multi-Robot Manipulation2023/8/1
- MRNAV: Multi-Robot Aware Planning and Control Stack for Collision and Deadlock-free Navigation in Cluttered Environments2023/8/1
- DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments2023/7/1
- Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials2023/6/1
- QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control2023/6/1
- IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality2023/5/1
- Generating Behaviorally Diverse Policies with Latent Diffusion Models2023/5/1
- Reducing Network Load via Message Utility Estimation for Decentralized Multirobot Teams2023/4/1
- A Study on Multirobot Quantile Estimation in Natural Environments2023/3/1
- Learned Parameter Selection for Robotic Information Gathering2023/3/1
- Probabilistic Trajectory Planning for Static and Interaction-aware Dynamic Obstacle Avoidance2023/2/1
- Fast and Scalable Signal Inference for Active Robotic Source Seeking2023/1/1
- RREx-BoT: Remote Referring Expressions with a Bag of Tricks2023/1/1
- CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation2022/11/1
- Efficiently Learning Small Policies for Locomotion and Manipulation2022/10/1
- Decentralized Risk-Aware Tracking of Multiple Targets2022/8/1
- CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning2022/8/1
- Learning Deformable Object Manipulation from Expert Demonstrations2022/7/1
- A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search2022/6/1
- Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM2022/5/1
- Inferring Articulated Rigid Body Dynamics from RGBD Video2022/3/1
- DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following2022/2/1
- Informative Path Planning to Estimate Quantiles for Environmental Analysis2022/1/1
- Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation2021/11/1
- A Simple Approach to Continual Learning by Transferring Skill Parameters2021/10/1
- Adaptive Sampling using POMDPs with Domain-Specific Considerations2021/9/1
- Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation2021/9/1
- Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning2021/9/1
- Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems2021/9/1
- Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams2021/5/1
- Adaptive Sampling: Algorithmic vs. Human Waypoint Selection2021/4/1
- NeuralSim: Augmenting Differentiable Simulators with Neural Networks2020/11/1
- Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments2020/10/1
- Learning Equality Constraints for Motion Planning on Manifolds2020/9/1
- Resilient Monitoring in Heterogeneous Multi-robot Systems through Network Reconfiguration2020/8/1
- Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap2020/7/1
- Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed2020/7/1
- Confidence-rich grid mapping2020/6/1
- Sampling-Based Motion Planning on Sequenced Manifolds2020/6/1
- Learning Manifolds for Sequential Motion Planning2020/6/1
- Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning2020/4/1
- Plan-Space State Embeddings for Improved Reinforcement Learning2020/4/1
- Resilience in multi-robot multi-target tracking with unknown number of targets through reconfiguration2020/4/1
- Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots2020/3/1
- Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics2020/1/1
- Encoding Physical Constraints in Differentiable Newton-Euler Algorithm2020/1/1
- Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking2019/12/1
- Resilience in multi-robot target tracking through reconfiguration2019/10/1
- Resilient Coverage: Exploring the Local-to-Global Trade-off2019/10/1
- Interactive Differentiable Simulation2019/5/1
- Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors2019/3/1
- Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams2019/3/1
- Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills2018/10/1
- Planning Safe Paths through Hazardous Environments2018/3/1
- Downwash-Aware Trajectory Planning for Large Quadrotor Teams2017/4/1
- Data-Driven Learning and Planning for Environmental Sampling2017/2/1
- Designing Sparse Reliable Pose-Graph SLAM: A Graph-Theoretic Approach2016/11/1
- Informative Planning and Online Learning with Sparse Gaussian Processes2016/9/1
- A Solution to Time-Varying Markov Decision Processes2016/5/1
- Learning Relevant Features for Manipulation Skills using Meta-Level Priors2016/5/1
- Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena2012/6/1
- Active Classification: Theory and Application to Underwater Inspection2011/6/1