Human-Robot Collaboration and Robotics Advancements

The field of robotics is moving towards more intuitive and seamless human-robot collaboration. Recent developments focus on enhancing the interaction between humans and robots, enabling more precise and efficient communication. This includes the use of augmented reality, virtual reality, and machine learning-based methods to improve robot motion planning, control, and navigation. Noteworthy papers in this area include GhostObjects, which proposes a novel method for instructing robots through virtual object manipulation, and ReachVox, which presents a clutter-free reachability visualization for robot motion planning in virtual reality. Additionally, Anticipatory and Adaptive Footstep Streaming for Teleoperated Bipedal Robots demonstrates a significant advancement in teleoperation, allowing for more stable and balanced robot locomotion. Other notable works, such as Kid Cosmo and Humanoid Motion Scripting with Postural Synergies, showcase innovative designs and methods for humanoid robots, prioritizing both technical functionality and character embodiment.

Sources

GhostObjects: Instructing Robots by Manipulating Spatially Aligned Virtual Twins in Augmented Reality

ReachVox: Clutter-free Reachability Visualization for Robot Motion Planning in Virtual Reality

Anticipatory and Adaptive Footstep Streaming for Teleoperated Bipedal Robots

From Screen to Stage: Kid Cosmo, A Life-Like, Torque-Controlled Humanoid for Entertainment Robotics

Humanoid Motion Scripting with Postural Synergies

Box-Reachability in Vector Addition Systems

koboshi: A Base That Animates Everyday Objects

Bend It, Aim It, Tap It: Designing an On-Body Disambiguation Mechanism for Curve Selection in Mixed Reality

A Vision-Based Shared-Control Teleoperation Scheme for Controlling the Robotic Arm of a Four-Legged Robot

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