Katherine Driggs-Campbell
University of Illinois at Urbana-Champaign
収録論文 72本 ・ フィジカルAI/ロボット学習
VLA
※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
- ARGUS: 大規模3Dビジョンモデルによる視点変化下でのロボットシーン幾何の整合VLA2026/8/6
視点に依存しない観測表現を生成する前処理パイプラインを提案し、多視点データセットからの学習効率と汎化性能を向上させた。
- ARGUS: Aligning Robot Scene Geometry Under Shifting Views with Large 3D Vision Models2026/8/1
- Belief-Aware Influence and Trust (BAIT): Shaping Human Belief During Repeated Human-Robot Interaction2026/7/1
- DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors2026/4/1
- Rethinking Gaussian Trajectory Predictors: Calibrated Uncertainty for Safe Planning2026/3/1
- VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs2026/3/1
- From Legible to Inscrutable Trajectories: (Il)legible Motion Planning Accounting for Multiple Observers2026/2/1
- Tactile-Based Human Intent Recognition for Robot Assistive Navigation2025/9/1
- Multi-Modal Manipulation via Multi-Modal Policy Consensus2025/9/1
- Trust-Aware Embodied Bayesian Persuasion for Mixed-Autonomy2025/9/1
- In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader2025/7/1
- Hierarchical Intention Tracking with Switching Trees for Real-Time Adaptation to Dynamic Human Intentions during Collaboration2025/6/1
- Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing2025/5/1
- Do You Know the Way? Human-in-the-Loop Understanding for Fast Traversability Estimation in Mobile Robotics2025/4/1
- Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use2025/4/1
- Towards Uncertainty Unification: A Case Study for Preference Learning2025/3/1
- Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models2025/3/1
- A Unified Framework for Robots that Influence Humans over Long-Term Interaction2025/3/1
- An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving2025/2/1
- Interaction-aware Conformal Prediction for Crowd Navigation2025/2/1
- HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments2024/11/1
- Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation2024/9/1
- Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments2024/7/1
- LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef Application2024/6/1
- W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics2024/6/1
- A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping2024/6/1
- Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation2024/5/1
- Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art2024/3/1
- An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation2023/9/1
- D$^3$Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement2023/9/1
- Learning Task Skills and Goals Simultaneously from Physical Interaction2023/9/1
- Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints2023/9/1
- Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks2023/9/1
- Marginalized Importance Sampling for Off-Environment Policy Evaluation2023/9/1
- In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks2023/9/1
- Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks2023/8/1
- PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems2023/8/1
- User-Friendly Safety Monitoring System for Manufacturing Cobots2023/7/1
- DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding2023/7/1
- Dynamic-Resolution Model Learning for Object Pile Manipulation2023/6/1
- Adaptive Failure Search Using Critical States from Domain Experts2023/4/1
- Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries2023/4/1
- Towards Co-operative Congestion Mitigation2023/2/1
- Designing a Wayfinding Robot for People with Visual Impairments2023/2/1
- A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots2023/1/1
- Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection2023/1/1
- Occlusion-Aware Crowd Navigation Using People as Sensors2022/10/1
- Towards Robots that Influence Humans over Long-Term Interaction2022/9/1
- Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration2022/6/1
- Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration2022/5/1
- Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance2022/5/1
- Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion2022/4/1
- Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks2022/3/1
- Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph2022/3/1
- Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction2022/2/1
- Off Environment Evaluation Using Convex Risk Minimization2021/12/1
- Learning Visual-Audio Representations for Voice-Controlled Robots2021/9/1
- Multi-Agent Variational Occlusion Inference Using People as Sensors2021/9/1
- Learning to Navigate Intersections with Unsupervised Driver Trait Inference2021/9/1
- Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction2021/7/1
- Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments2020/12/1
- Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning2020/11/1
- Long-term Pedestrian Trajectory Prediction using Mutable Intention Filter and Warp LSTM2020/7/1
- Online monitoring for safe pedestrian-vehicle interactions2019/10/1
- Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control2019/9/1
- Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation2019/8/1
- Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving2019/5/1
- Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning2019/4/1
- Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning2019/3/1
- HG-DAgger: Interactive Imitation Learning with Human Experts2018/10/1
- People as Sensors: Imputing Maps from Human Actions2017/11/1
- DropoutDAgger: A Bayesian Approach to Safe Imitation Learning2017/9/1