Andrea Bajcsy

収録論文 47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

• Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering
  2026/6/10
• Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering
  2026/6/1
• Inference-time Policy Steering via Vision and Touch
  2026/6/1
• ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies
  2026/6/1
• StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
  2026/6/1
• Position: Good Embodied Reward Models Need Bad Behavior Data
  2026/6/1
• WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation
  2026/6/1
• Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations
  2026/5/1
• When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
  2026/2/1
• How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
  2025/11/1
• Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
  2025/10/18
• Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
  2025/10/1
• How Well Do Latent World Models Understand Partially Observable Safety Constraints?
  2025/10/1
• AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space
  2025/9/1
• Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control
  2025/6/1
• Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence
  2025/6/1
• Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
  2025/5/1
• A Unified Framework for Robots that Influence Humans over Long-Term Interaction
  2025/3/1
• Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis
  2025/2/1
• From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
  2025/2/1
• Your Learned Constraint is Secretly a Backward Reachable Tube
  2025/1/1
• Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
  2024/12/1
• Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos
  2024/10/1
• Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
  2024/10/1
• Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games
  2024/9/1
• Robots that Suggest Safe Alternatives
  2024/9/1
• Updating Robot Safety Representations Online from Natural Language Feedback
  2024/9/1
• Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
  2024/6/1
• Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures
  2024/3/1
• What Matters to You? Towards Visual Representation Alignment for Robot Learning
  2023/10/1
• Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
  2023/10/1
• Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
  2023/9/1
• StROL: Stabilized and Robust Online Learning from Humans
  2023/8/1
• Learning Vision-based Pursuit-Evasion Robot Policies
  2023/8/1
• Contingency Games for Multi-Agent Interaction
  2023/4/1
• Towards Modeling and Influencing the Dynamics of Human Learning
  2023/1/1
• Towards Robots that Influence Humans over Long-Term Interaction
  2022/9/1
• Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
  2021/9/1
• Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
  2021/7/1
• Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts
  2021/7/1
• Analyzing Human Models that Adapt Online
  2021/3/1
• Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
  2020/2/1
• A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
  2019/10/1
• An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
  2019/5/1
• A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
  2018/11/1
• Learning under Misspecified Objective Spaces
  2018/10/1
• Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
  2018/6/1