Integrating robots into real-world applications requires effective consideration of various agents, including other robots. Multi-agent reinforcement learning (MARL) is an established field that ...

Machine learning-based approaches for soft robot proprioception have recently gained popularity, in part due to the difficulties in modeling the relationship between sensor signals and robot shape.

MIT professor Daniela Rus explains how AI-powered robots are being trained to safely assist in homes and daily life.

Anthropic launched learning modes in Claude chatbot and Claude Code. Instead of creating answers, they use the Socratic approach to guide you. You can select 'Learning' from the style dropdown to ...

Researchers from The Grainger College of Engineering have introduced a new framework for training autonomous robots using video demonstrations. Their innovation makes data collection more accessible ...

To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional ...

The South Florida Water Management District and the University of Florida are deploying robot rabbits to combat the invasive Burmese python population in the Everglades. These solar-powered decoys ...

MFG Radio Network #49 Lunch + Learn Podcast with Techman Robot The media could not be loaded, either because the server or network failed or because the format is not supported.

Remote-controlled robot rabbits are being deployed to help tackle Florida’s invasive python problem. The Burmese python threatens the ecosystem of the Everglades by preying on wildlife ...