Advancements in Robot Control and Manipulation

The field of robotics is moving towards more advanced and precise control systems, with a focus on improving manipulation and locomotion capabilities. Researchers are exploring new methods for teleoperation, including the use of extended reality and whole-body control systems. Soft continuum robots are also being developed, with a focus on creating more precise and adaptable morphologies. Additionally, there is a growing interest in developing more efficient and stable locomotion systems, including bipedal and quadrupedal robots. Noteworthy papers include: XRoboToolkit, which presents a cross-platform framework for robot teleoperation, and CHILD, which introduces a compact reconfigurable teleoperation system for humanoid robots. Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running is also notable, as it explores the optimization of running gaits for bipedal robots and compares them to human running mechanics.

Sources

XRoboToolkit: A Cross-Platform Framework for Robot Teleoperation

CHILD (Controller for Humanoid Imitation and Live Demonstration): a Whole-Body Humanoid Teleoperation System

Topology-Inspired Morphological Descriptor for Soft Continuum Robots

TOP: Time Optimization Policy for Stable and Accurate Standing Manipulation with Humanoid Robots

A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot

OpenScout v1.1 mobile robot: a case study on open hardware continuation

Tunable Leg Stiffness in a Monopedal Hopper for Energy-Efficient Vertical Hopping Across Varying Ground Profiles

Thruster-Enhanced Locomotion: A Decoupled Model Predictive Control with Learned Contact Residuals

Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching

Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running

CollaBot: Vision-Language Guided Simultaneous Collaborative Manipulation

XARP Tools: An Extended Reality Platform for Humans and AI Agents

Industrial Robot Motion Planning with GPUs: Integration of cuRobo for Extended DOF Systems

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification

Benchmarking Shortcutting Techniques for Multi-Robot-Arm Motion Planning

Computational Design and Fabrication of Modular Robots with Untethered Control

Built with on top of