Improvements to a prediction algorithm used in a car manufacturing plant could help robots and humans work better together when sharing the same floor space, whilst maintaining efficiency.

Electrical engineers have developed a faster collision detection algorithm that uses machine learning to help robots avoid moving objects and negotiate rapidly changing environments in real time.

Mobile robot algorithms and coordination have emerged as a central discipline in robotics research, combining computational theory, distributed algorithms, and systems engineering.

Researchers will present a new, decentralized planning algorithm for teams of robots that factors in not only stationary obstacles, but also moving obstacles. The algorithm also requires ...

MIT 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 ...

A team comprising Jared Glover and Sanja Popovic, also with an MIT connection, presented a paper at the November 2013 International Conference on Intelligent Robots and Systems describing a new ...

Researchers from the Massachusetts Institute of Technology received two nominations for best paper at the International Conference on Robotics and Automation for designing a new algorithm that can ...

Algorithm tells robots where nearby humans are headed Date: June 12, 2019 Source: Massachusetts Institute of Technology Summary: A new tool for predicting a person's movement trajectory may help ...

A team of researchers from the Georgia Institute of Technology has developed an algorithm that teaches robots how to fall, allowing them to trip up with a little more grace, and hopefully cause ...