研究Papers

最新のロボティクス研究をわかりやすく要約 — ヒューマノイドロボット、四足歩行ロボット、産業オートメーション、AI。
499 Papers
Robotic Muscle Memory Accelerates Vision-Language-Action Model Inference
AI9月17日

Robotic Muscle Memory Accelerates Vision-Language-Action Model Inference

Despite differences in task objectives, these applications share a common execution pattern: a robot operates at a fixed workstation and repeatedly performs similar tasks.

Kaijun Zhou, Zhiyang Li, Le Chen, Jinyu Gu

Zero-Shot Force-Aware Robot Manipulation Using Generated Video and Audio
AI9月17日

Zero-Shot Force-Aware Robot Manipulation Using Generated Video and Audio

We presented a pipeline that jointly uses generated video and audio to construct force-aware trajectories for contact-rich manipulation.

Guanhua Ji, Tianyu Li, Dayoon Suh +3

Hybrid Reachability for Safe Goal-Driven Robot Control
Robotics9月16日

Hybrid Reachability for Safe Goal-Driven Robot Control

Hybrid dynamical systems model robotic systems exhibiting continuous and discrete dynamics, but ensuring their safety and performance remains challenging.

Javier Borquez, Shuang Peng, Somil Bansal

Decentralized Gaussian Processes for Spatial Field Estimation with Robot Swarms
Robotics9月16日

Decentralized Gaussian Processes for Spatial Field Estimation with Robot Swarms

Guillermo Legarda Herranz, Gianpiero Francesca, Mauro Birattari

Episode-Normalized Conformal Prediction for Reliable Coverage in Vision-and-Language Navigation Policies
AI9月16日

Episode-Normalized Conformal Prediction for Reliable Coverage in Vision-and-Language Navigation Policies

Vicky Feliren, A. Taufiq Asyhari, Muhamad Risqi U. Saputra

Learning Adaptive Safety Margins for Visual Navigation
AI9月15日

Learning Adaptive Safety Margins for Visual Navigation

Mobile robots are increasingly deployed in human-centric indoor environments such as homes, hospitals, and labs, where success depends not only on geometric …

Junyi Hu, Shuaihang Yuan, Geeta Chandra Raju Bethala +2

Autonomous Racing Defense: How RL-Guided Control Blocks Faster Opponents
Robotics9月15日

Autonomous Racing Defense: How RL-Guided Control Blocks Faster Opponents

A new hierarchical framework combines reinforcement learning and model predictive control to give slower autonomous race cars the ability to fend off faster …

Yufei Xi, Yijie Liao, Tulga Ersal

Real-Time Traffic Management for Heterogeneous AGVs in Narrow Industrial Environments
Industrial9月15日

Real-Time Traffic Management for Heterogeneous AGVs in Narrow Industrial Environments

Alessandro Bonetti, Silvia Proia, Simone Guidetti +1

Distributed Model-Based Diffusion for Scalable Multi-Robot Trajectory Planning
Robotics9月14日

Distributed Model-Based Diffusion for Scalable Multi-Robot Trajectory Planning

Haejoon Lee, Xinyi Wang, Taekyung Kim +1

Safer Robot Skill Adaptation Around Moving Obstacles
Robotics9月14日

Safer Robot Skill Adaptation Around Moving Obstacles

Dist-GPRL helps robots adapt demonstrated manipulation skills around moving obstacles while preserving smooth motion and reducing collisions.

A K M Nadimul Haque, Sheila Sutjipto, Marc G. Carmichael +1

CARLAverse: Modular Multimodal Human-in-the-Loop Simulation Framework
Robotics9月14日

CARLAverse: Modular Multimodal Human-in-the-Loop Simulation Framework

This section reviews existing approaches in hardware abstraction, the current state of mixed-traffic simulation, and technical challenges in distributed physics.

Patrick Rebling, Philipp Nenninger, Reiner Kriesten

Touch-Enhanced Robot Learning Boosts Precision Tasks by Combining Sight and Feel
Robotics9月13日

Touch-Enhanced Robot Learning Boosts Precision Tasks by Combining Sight and Feel

Ning Cheng, Jinan Xu, Wanlin Li +5

KAI: Kinematic Interface Boosts Robot Manipulation with Less Data
Robotics9月13日

KAI: Kinematic Interface Boosts Robot Manipulation with Less Data

Yaping Li, Zhaxizhuoma, Qiaojun Yu +3

Memory-Grounded Planning for Efficient Long-Horizon Robotic Manipulation Tasks
Robotics9月13日

Memory-Grounded Planning for Efficient Long-Horizon Robotic Manipulation Tasks

In memory-dependent tasks, long-horizon visual history is not necessarily required as a direct input to the execution model at every control step.

Sizhe Zhao, Haozhe Xie, Weiyu Zhao +5

Motion-Consistent Detection and Socially-Aware Trajectory Forecasting
Robotics9月12日

Motion-Consistent Detection and Socially-Aware Trajectory Forecasting

Two obstacles motivate this paper: DeTra has no public implementation, and forecasting dynamic actors remains markedly harder than detection.

Vladislav Diuzhev, Dmitry Yudin

How Organizational Principles Improve Collective Intelligence in Embodied AI Teams
AI9月12日

How Organizational Principles Improve Collective Intelligence in Embodied AI Teams

Zhengran Ji, Jonathan Hyun, Boyuan Chen

Shared Exoskeleton Enables One-to-One Dexterous Robot Demonstrations
Robotics9月12日

Shared Exoskeleton Enables One-to-One Dexterous Robot Demonstrations

Tengbo Yu, Jiahao Wu, Daohan Li +4

Robotics9月11日

Dynamic Semantic Mapping Helps Robots Understand Changing Spaces in Real Time

A hybrid semantic mapping pipeline combines camera geometry, object tracking, regression correction, and ontologies for live robot world models.

Konstantinos Dimitropoulos, Ioannis Hatzilygeroudis

Rapid Learning Enables Dexterous In-Hand Pen Writing with Real-Time Jacobian Estimation
Robotics9月11日

Rapid Learning Enables Dexterous In-Hand Pen Writing with Real-Time Jacobian Estimation

Uncalibrated visual servoing learns the differential map between sensed features and actuation online, with no camera or kinematic calibration.

Kai Stewart, Yasunori Toshimitsu, Robert K. Katzschmann

Learning Agent-Based MPC Helps Vehicles Coordinate Unknown Controllers in Real Time
Robotics9月11日

Learning Agent-Based MPC Helps Vehicles Coordinate Unknown Controllers in Real Time

Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani +4