Ashish Kapoor

収録論文 32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

• DreamControl-v2: Simpler and Scalable Autonomous Humanoid Skills via Trainable Guided Diffusion Priors
  2026/4/1
• DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion
  2025/9/1
• Pretrained Embeddings as a Behavior Specification Mechanism
  2025/3/1
• Logically Constrained Robotics Transformers for Enhanced Perception-Action Planning
  2024/8/1
• Foundation Models in Robotics: Applications, Challenges, and the Future
  2023/12/1
• GRID: A Platform for General Robot Intelligence Development
  2023/10/1
• ChatGPT for Robotics: Design Principles and Model Abilities
  2023/6/1
• ConBaT: Control Barrier Transformer for Safe Policy Learning
  2023/3/1
• PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training
  2022/9/1
• Learning to Simulate Realistic LiDARs
  2022/9/1
• LATTE: LAnguage Trajectory TransformEr
  2022/8/1
• Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions
  2022/7/1
• Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
  2022/3/1
• COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems
  2022/3/1
• Representation Learning for Event-based Visuomotor Policies
  2021/3/1
• Adversarial Attacks on Optimization based Planners
  2020/11/1
• AirSim Drone Racing Lab
  2020/3/1
• TartanAir: A Dataset to Push the Limits of Visual SLAM
  2020/3/1
• Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty
  2020/1/1
• Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
  2019/12/1
• Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  2019/9/1
• Explorations and Lessons Learned in Building an Autonomous Formula SAE Car from Simulations
  2019/5/1
• Inverse Optimal Planning for Air Traffic Control
  2019/3/1
• Verifying Controllers Against Adversarial Examples with Bayesian Optimization
  2018/2/1
• Data-driven Planning via Imitation Learning
  2017/11/1
• AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
  2017/5/1
• Adaptive Information Gathering via Imitation Learning
  2017/5/1
• Learning to Gather Information via Imitation
  2016/11/1
• Probabilistic Safety Programs
  2016/10/1
• No-Regret Replanning under Uncertainty
  2016/9/1
• Fast Second-order Cone Programming for Safe Mission Planning
  2016/9/1
• Safe Control under Uncertainty
  2015/10/1