Siddhartha Srinivasa

収録論文 45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

• Difference-Aware Retrieval Policies for Imitation Learning
  2026/6/1
• Bidirectional Incremental Generalized Hybrid A*
  2026/5/1
• RoboPlayground: Democratizing Robotic Evaluation through Structured Physical Domains
  2026/4/1
• Incremental Generalized Hybrid A*
  2025/8/1
• RoboEval: Where Robotic Manipulation Meets Structured and Scalable Evaluation
  2025/7/1
• ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
  2025/6/1
• Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
  2025/4/1
• Causal Composition Diffusion Model for Closed-loop Traffic Generation
  2024/12/1
• DriveGPT: Scaling Autoregressive Behavior Models for Driving
  2024/12/1
• An Adaptable, Safe, and Portable Robot-Assisted Feeding System
  2024/3/1
• Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving
  2024/3/1
• NEWTON: Are Large Language Models Capable of Physical Reasoning?
  2023/10/1
• CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning
  2023/10/1
• Cherry-Picking with Reinforcement Learning : Robust Dynamic Grasping in Unstable Conditions
  2023/3/1
• Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees
  2022/10/1
• Real World Offline Reinforcement Learning with Realistic Data Source
  2022/10/1
• Electrostatic Brakes Enable Individual Joint Control of Underactuated, Highly Articulated Robots
  2022/4/1
• Balancing Efficiency and Comfort in Robot-Assisted Bite Transfer
  2021/11/1
• Leveraging Experience in Lazy Search
  2021/10/1
• Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation
  2021/5/1
• Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation
  2020/11/1
• Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
  2020/9/1
• Lyceum: An efficient and scalable ecosystem for robot learning
  2020/1/1
• Leveraging Experience in Lazy Search
  2019/7/1
• Imitation Learning as $f$-Divergence Minimization
  2019/5/1
• Improving Robot Success Detection using Static Object Data
  2019/4/1
• Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles
  2019/4/1
• Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation
  2019/3/1
• Learning Configuration Space Belief Model from Collision Checks for Motion Planning
  2019/1/1
• Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
  2018/10/1
• Balancing Shared Autonomy with Human-Robot Communication
  2018/5/1
• Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges
  2018/3/1
• Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning
  2018/1/1
• Bayesian Active Edge Evaluation on Expensive Graphs
  2017/11/1
• Minimizing Task Space Frechet Error via Efficient Incremental Graph Search
  2017/10/1
• Generalizing Informed Sampling for Asymptotically Optimal Sampling-based Kinodynamic Planning via Markov Chain Monte Carlo
  2017/10/1
• Mathematical Models of Adaptation in Human-Robot Collaboration
  2017/7/1
• Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs
  2017/6/1
• Planning with Verbal Communication for Human-Robot Collaboration
  2017/6/1
• Efficient motion planning for problems lacking optimal substructure
  2017/3/1
• Hybrid control trajectory optimization under uncertainty
  2017/2/1
• Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration
  2017/1/1
• Human-Robot Mutual Adaptation in Shared Autonomy
  2017/1/1
• Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces
  2016/1/1
• Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols
  2015/2/1