Mårten Björkman

収録論文 27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

• Design and Evaluation of an Assisted Programming Interface for Behavior Trees in Robotics
  2026/2/1
• YCB-Handovers Dataset: Analyzing Object Weight Impact on Human Handovers to Adapt Robotic Handover Motion
  2025/12/1
• DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting
  2025/5/1
• Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration
  2025/4/1
• Impact of Object Weight in Handovers: Inspiring Robotic Grip Release and Motion from Human Handovers
  2025/2/1
• REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations
  2025/2/1
• Early Detection of Human Handover Intentions in Human-Robot Collaboration: Comparing EEG, Gaze, and Hand Motion
  2025/2/1
• How do Humans take an Object from a Robot: Behavior changes observed in a User Study
  2025/1/1
• Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision
  2025/1/1
• Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation
  2024/9/1
• Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics
  2024/3/1
• Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
  2024/3/1
• Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration
  2023/9/1
• A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers
  2023/4/1
• Data-driven Grip Force Variation in Robot-Human Handovers
  2023/3/1
• User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
  2023/3/1
• Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
  2022/4/1
• Combining Planning and Learning of Behavior Trees for Robotic Assembly
  2021/3/1
• Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
  2021/3/1
• Data-efficient visuomotor policy training using reinforcement learning and generative models
  2020/7/1
• Human-centered collaborative robots with deep reinforcement learning
  2020/7/1
• Imitating by generating: deep generative models for imitation of interactive tasks
  2019/10/1
• Adversarial Feature Training for Generalizable Robotic Visuomotor Control
  2019/9/1
• Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality
  2019/2/1
• Deep Predictive Policy Training using Reinforcement Learning
  2017/3/1
• A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction
  2016/7/1
• Self-learning and adaptation in a sensorimotor framework
  2016/1/1