A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...
Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...
Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
[Aditya Sripada] and [Abhishek Warrier]’s TARS3D robot came from asking what it would take to make a robot with the capabilities of TARS, the robotic character from Interstellar. We couldn’t find a ...
What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...
Tesla is ramping up hiring for its humanoid robot program, Optimus, including some reinforcement learning engineers. It was hard to take Tesla Bot seriously when Elon Musk announced it by having ...
Unlike traditional industrial grippers, which are optimized for repetitive, single-purpose tasks, ROBOTERA’s hands are anthropomorphic, five-fingered systems built for varied, unstructured ...
In curling, a sport that’s been referred to as “chess on ice” because of the strategy and precision involved, a robot named Curly beat Korean national teams in three out of four official matches.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results