Robotics

RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning

Researchers developed a deep reinforcement learning system that trains anthropomorphic robot hands to play piano, using MuJoCo physics engine and MIDI files for simulation. The system achieves high performance by incorporating human fingering patterns and energy optimization, demonstrating significant improvements over baseline methods with an average F1 score of 0.79 across test pieces.

Rediscovering Quaternions

An exploration of different methods for representing 3D rotations, from Euler angles to quaternions, highlighting their advantages and limitations. The discussion covers historical challenges like gimbal lock in the Apollo missions and demonstrates how quaternions solve discontinuity issues in rotation representation. The text concludes with insights into four-degree-of-freedom gimbal systems and their practical applications.

Helix: A Vision-Language-Action Model for Generalist Humanoid Control

Figure introduces Helix, a groundbreaking Vision-Language-Action model capable of controlling humanoid robot upper bodies through natural language commands. The system uniquely combines high-speed continuous control with multi-robot collaboration capabilities, operating entirely on embedded GPUs. Helix demonstrates remarkable ability to manipulate thousands of novel objects without prior training, marking a significant advancement in scalable robotics.

PAROL6 DOCS

PAROL6 is an open-source, 3D-printed desktop robotic arm designed to match industrial robot standards in mechanics, control, and usability. The project provides comprehensive documentation, building instructions, and control software under GPLv3 license, enabling users to build and operate their own 6-axis robot for educational and small-scale automation purposes.

NVIDIA CEO Jensen Huang Robots Presentation at CES 2025

NVIDIA announces major developments in general robotics with their Isaac Groot platform, enabling efficient robot training through synthetic motion generation and simulation. The technology combines human demonstrations, digital twins, and advanced AI to create exponential training datasets, while also introducing a new compact AI supercomputer based on the GB110 chip.