First, discrete-time CBFs are utilized to formulate the new flexible CBFSC with dynamic decay rates, which is then integrated into the model predictive control ... various scenarios using a Universal ...

To address this, we introduce two new approaches for optimizing RM in motion planning: a probabilistic generative model ... enhancing robot interactions in diverse and dynamic environments.

This paper completes the trajectory planning of a UR5 collaborative robot (cobot) in joint space by means of ... Another approach that does not require a dynamics model is to use a smoothing function ...

A groundbreaking Vision-Language-Action model transforming humanoid robotics for industrial and household use.

TL;DR: NVIDIA and Carnegie Mellon’s ASAP AI trains humanoid robots ... world dynamics," the researchers wrote. Jim Fan, lead of NVIDIA's GR00T project, took to X to highlight the new model ...

Researchers developed a new robust and adaptive solution for ballbots to offer lightweight computation, superior stability, ...

Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...

After analyzing the DeepSeek-R1 architecture, unsloth performed 'dynamic quantization,' which quantizes each part of the model at a different compression rate. As a result, unsloth reported that ...

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI ...

In a stunning display of technological prowess and cultural fusion, Unitree's H1 humanoid robots recently stole the show at China's Spring Festival Gala, performing alongside human dancers in a ...

But we had not been able to drive the base-model Dynamic – until now. It is arguably the most tantalising variant of the three, with a price below $50,000 plus on-road costs that undercuts the ...