Reinforcement Learning
14 reportsThe research story of Reinforcement Learning is traced through data requirements, together with optimization procedure and evaluation metrics. Claims involving optimization procedure are weighed against controlled benchmarks and checked with ablation studies; the account does not overlook that headline accuracy can hide distribution shifts, bias, or unstable behavior.
Record Number of Humanoid Robots to Compete in Beijing Games
Beijing will host the second World Humanoid Robot Games from August 22-26, bringing together over 2,000 robots from 16 countries to compete in 51 events, with stricter rules and expanded real-world challenge scenarios.
Humanoid Robots Learn Agile Moves from Human Motion Data with ZEST
A new control framework called ZEST enables humanoid and quadruped robots to perform complex, agile movements by learning from human motion capture, video, and animation data, reducing the need for task-specific engineering
AI-Generated Quantum Circuits Tested on 98-Qubit Trapped-Ion Hardware
A collaboration between Quantinuum, NVIDIA, and Pfizer has demonstrated an AI-driven framework for generating quantum circuits, executing them on a 98-qubit trapped-ion processor to model pharmaceutical molecules
SONIC Framework Enables Humanoid Robots to Perform Diverse Movements
NVIDIA researchers have introduced SONIC, a large-scale control framework that allows humanoid robots to execute a wide range of whole-body movements using inputs from teleoperation, video, text, and music, with evidence from both simulation and real-world tests
NVIDIA's Nemotron 3.5 Lightning Targets Routine AI Agent Tasks
NVIDIA has released Nemotron 3.5 Lightning, an open-weight model designed for high-volume, repetitive agent workloads. The system aims to reduce cost and latency for developers running autonomous agents on local hardware or in data centers
Atlas Robot Demonstrates Autonomous Battery Swapping in Factory Test
Boston Dynamics has shown its Atlas humanoid robot autonomously swapping its own battery in under three minutes, aiming to reduce downtime and extend operational shifts in industrial settings
3D-Printed Porous Feet Cut Power Use in Quadruped Robot Tests
A research team at Seoul National University of Science and Technology has tested 3D-printed porous feet on a quadruped robot, reporting up to 6.2% lower battery consumption during walking tasks with a learning-based controller
AI Agent Controls X-62A Fighter Jet in Live Intercept Flight Tests
Lockheed Martin and the U.S. Air Force Test Pilot School have tested an AI agent that autonomously flew the X-62A VISTA fighter using real-time infrared sensor data to intercept a live aircraft, marking a step toward operational airborne autonomy
Atlas to Expand Driverless Truck Fleet for Oilfield Sand Transport
Atlas Energy Solutions plans to increase its AI-enabled driverless truck fleet in the US Permian Basin, aiming for 100 vehicles by mid-2027, to automate sand delivery for hydraulic fracturing across private oilfield routes
Curiosity-Driven AI Robots Show Faster Language Learning in Simulation
Researchers at the Okinawa Institute of Science and Technology have built virtual robots that learn language tasks more efficiently by rewarding curiosity, revealing new patterns of play-like behavior and adaptability in controlled experiments
Humanoid Robot Learns to Walk on Real Terrain With Less Training
Georgia Tech researchers have introduced a machine-learning framework that enables a humanoid robot to walk across unpredictable real-world surfaces, reducing both training time and computational demands compared to previous methods
Swiss Startup Mimic Robotics Reveals Sensor-Rich Robotic Hand for Factories
Mimic Robotics has introduced the Mimic Hand M1, a tendon-driven robotic hand designed for industrial automation, featuring advanced tactile sensing and a human-like joint structure to improve manipulation of diverse objects in real-world settings
AI System Tested in Remotely Piloted F-16 Without Core Software Rewrite
A modified F-16 fighter jet was flown under AI control in a supervised test by DARPA and the US Air Force, using the VENOM Autonomy Kit to enable remote operation without altering the aircraft's core flight software
World Models Aim to Simulate Reality but Face Technical Barriers
Researchers are developing world models-AI systems designed to simulate aspects of the physical world. These models promise new capabilities beyond language, but their accuracy and reliability remain unsettled