Abstract: This study explores the integration of rhythmic control mechanisms and latent visual encoding to enhance bipedal locomotion in complex environments. While model-free reinforcement learning ...
Fanuc's four-axis, washdown-rated delta and SCARA robots are designed for high-speed picking and packing performance in hygiene-critical manufacturing environments. The DR-3iB/6 delta robot features ...
HYPRLABS Inc. (HYPR), an AI robotics company based in San Francisco and Paris, today emerged from stealth with HYPRDRIVE™, a ...
Abstract: Multi-Agent Reinforcement Learning (MARL) has shown great potential in solving complex tasks. Despite great success, low training efficiency remains a pervasive and long-standing challenge ...
Morning Overview on MSN
AI could speed up space travel with faster rockets and efficient propulsion
Artificial intelligence is moving from the control room into the engine bell, reshaping how rockets are designed, steered and ...
For autonomous mobile robots to operate effectively in human environments, navigation must extend beyond obstacle avoidance to incorporate social awareness. Safe and fluid interaction in shared spaces ...
When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...
The World Robot Olympiad opened in Singapore on Wednesday with hundreds of international students, some as young as eight, set to compete using automatons to solve real-world problems. The annual ...
Robotics software startup Physical Intelligence has reportedly closed on a fresh, $600 million round of funding that brings its valuation to a lofty $5.6 billion. The company has not officially ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback