Researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as ...

This paper proposes a method that combines extra random trees technology (ERT) and genetic algorithm (GA) for optimal design of motor for robot joints. The target motor is a surface-mounted permanent ...

Learn about robot communication and coordination algorithms, and how they can help robots share information about their environment in different tasks. Agree & Join LinkedIn ...

Algorithms guide robot design toward telescope-like structures By Dyllan Furness Published August 4, 2017 Save ... See the video above for a visual example of this shape-shifting in action.

First, a design-optimization algorithm “generates a bunch of random robot designs,” Bhatia says. The algorithm creates each soft robot by combining up to 100 individual building blocks, which ...

Learn how to balance robot design and functionality with these tips and examples. Find out how to create robots that are effective, ... You're facing challenges with AI algorithm performance.

We propose a novel systematic approach to optimizing the design of concentric tube robots for neurosurgical procedures. These procedures require that the robot approach specified target sites while ...

Selling To The Algorithm: The Rise Of Robot Consumers. Skip to Main Content.

Collaborative learning -- for robots: New algorithm Date: June 25, 2014 Source: Massachusetts Institute of Technology Summary: Machine learning, in which computers learn new skills by looking for ...

Planning in parallel. The researchers' algorithm is designed for what is called task and motion planning (TAMP). The goal of a TAMP algorithm is to come up with a task plan for a robot, which is a ...