A new braking system has been added to a race car driver's hand controls, allowing him to race without the use of his legs.

Thus, we propose Deep Residual Model Predictive Control (DR-MPC) to enable robots to quickly and safely perform DRL from real-world crowd navigation data. By blending MPC with model-free DRL, DR-MPC ...

Q4 2024 Earnings Conference Call March 18, 2025 8:00 AM ETCompany ParticipantsAlex Xie - Head of Investor Relations and ...

A paralyzed man was able to control a robotic arm through his thoughts, according to researchers at UC San Francisco. The ...

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Official implementation for the paper "Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing". DIAL-MPC is a novel sampling-based MPC framework for legged ...

Getting a robot to stand on two wheels without tipping over involves a challenging dance with the laws of physics.

As built, Maserati’s MC20 is powered by a twin-turbocharged 3.0-liter V6 making 621 horsepower, and its top speed is 202 mph ...

The company seeks to bring humanoid robots into domestic settings with support from investors, including Microsoft and Jeff Bezos, within the upcoming years. 6. Mistral AI: Open-Source AI Models The ...

While maintaining the computational efficiency of MPC, it enhances the effectiveness of footstep planning in tracking the desired walking speed. To improve the robot's dynamic walking capability, we ...

The advanced process control (APC) market growth is driven by rise in need for industries to enhance process efficiency, reduce operational costs, and ensure product consistency. Technological ...