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A Collision-Free MPC for Whole-Body Dynamic Locomotion and Manipulation

In this paper, we present a real-time whole-body planner for collision-free legged mobile manipulation. We enforce both self-collision and environment-collision avoidance as soft constraints within a ...
VentureBeat

Stanford’s mobile ALOHA robot learns from humans to cook, clean, do laundry

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new AI system developed by researchers at ...
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Open-source holonomic mobile manipulator could advance household robotics

Researchers at Stanford University, Princeton University, and Dexterity recently developed TidyBot++, a holonomic mobile robot that can perform various household chores and could help to train or test ...
Morningstar

Diligent Robotics Unveils Moxi 2.0, Advancing The Largest Fleet of Deployed AI-Powered Mobile Manipulation Robots Operating in Unstructured, Human-Centric Work Environments

Diligent Robotics Unveils Moxi 2.0, Advancing The Largest Fleet of Deployed AI-Powered Mobile Manipulation Robots Operating in Unstructured, Human-Centric Work Environments Moxi 2.0, powered by NVIDIA ...
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Uni-President Enterprises files patent for mobile manipulation control method for a legged mobile manipulator

Uni-President Enterprises. has filed a patent for a mobile manipulation control method for a legged mobile manipulator. The method involves obtaining current pose information, decomposing tasks into ...