Roberto Calandra

TU Dresden

収録論文 51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

• MISTac: 低侵襲手術のための視覚ベース触覚センサ
  触覚2026/8/14

  低侵襲手術で失われる触覚フィードバックを補うため、直径8mmの交換可能なセンサチップを持つ高解像度の視覚ベース触覚センサMISTacを開発し、組織分類タスクで約84%の精度を達成した。

• RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalization
  2026/6/1
• SemanticFeels: Semantic Labeling during In-Hand Manipulation
  2026/2/1
• Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
  2025/9/18
• Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
  2025/9/1
• Effective Explanations for Belief-Desire-Intention Robots: When and What to Explain
  2025/7/1
• Tactile MNIST: Benchmarking Active Tactile Perception
  2025/6/1
• Learning Dexterous Object Handover
  2025/6/1
• Apple: Toward General Active Perception via Reinforcement Learning
  2025/5/1
• On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting
  2025/4/1
• Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion
  2025/4/1
• Learning Gentle Grasping Using Vision, Sound, and Touch
  2025/3/1
• Learning to Play Piano in the Real World
  2025/3/1
• From Simple to Complex Skills: The Case of In-Hand Object Reorientation
  2025/1/1
• Digitizing Touch with an Artificial Multimodal Fingertip
  2024/11/1
• ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing
  2024/11/1
• ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
  2024/10/1
• Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors
  2024/3/1
• A Touch, Vision, and Language Dataset for Multimodal Alignment
  2024/2/1
• Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
  2023/12/1
• Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation
  2023/12/1
• General In-Hand Object Rotation with Vision and Touch
  2023/9/1
• In-Hand Object Rotation via Rapid Motor Adaptation
  2022/10/1
• Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
  2022/9/1
• What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
  2021/11/1
• Active 3D Shape Reconstruction from Vision and Touch
  2021/7/1
• Towards Learning to Play Piano with Dexterous Hands and Touch
  2021/6/1
• PyTouch: A Machine Learning Library for Touch Processing
  2021/5/1
• Model-Invariant State Abstractions for Model-Based Reinforcement Learning
  2021/2/1
• TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors
  2020/12/1
• Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning
  2020/12/1
• Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
  2020/8/1
• 3D Shape Reconstruction from Vision and Touch
  2020/7/1
• Learning to Play Table Tennis From Scratch using Muscular Robots
  2020/6/1
• DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
  2020/5/1
• Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
  2020/4/1
• OmniTact: A Multi-Directional High Resolution Touch Sensor
  2020/3/1
• Objective Mismatch in Model-based Reinforcement Learning
  2020/2/1
• Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
  2019/11/1
• Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
  2019/9/1
• Data-efficient Learning of Morphology and Controller for a Microrobot
  2019/5/1
• Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots
  2019/4/1
• Manipulation by Feel: Touch-Based Control with Deep Predictive Models
  2019/3/1
• Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching
  2019/3/1
• Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
  2019/1/1
• More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
  2018/5/1
• Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
  2018/5/1
• Learning Flexible and Reusable Locomotion Primitives for a Microrobot
  2018/3/1
• The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
  2017/10/1
• MBMF: Model-Based Priors for Model-Free Reinforcement Learning
  2017/9/1
• Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations
  2015/10/1