Robots navigate by learning from its mistakes

A team of researchers at the Oxford Robotics Institute are working on the control of legged robots. They are developing solutions for these legged robots to be able to perceive their environment and make intelligent decisions to move from one point to the other.

Lead author of a recent paper on this work and AIMS DPhil student Siddhant (Sid) Gangapurwala explains, “For example, it is extremely natural for us as humans to be able to move in a location with uneven terrain and significant obstacles. However, for a robot in the same environment, it needs algorithms that can help sense the environment from sensors and then use this information to decide where to step, and how to step without falling over. This has been a difficult problem to solve. “

Further details on this article can be found here: https://eng.ox.ac.uk/case-studies/robot-navigates-by-learning-from-its-mistakes/.