1 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Unwieldy Object Delivery with Nonholonomic Mobile Base: A Stable Pushing Approach
Yujie Tang, Hai Zhu, Susan Potters +2
This paper addresses the problem of pushing manipulation with nonholonomic mobile robots. Pushing is a fundamental skill that enables robots to move unwieldy objects that cannot be…
Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind
Fred Bos, Ajith Anil Meera, Dennis Benders +1
The free energy principle from neuroscience provides a brain-inspired perception scheme through a data-driven model learning algorithm called Dynamic Expectation Maximization (DEM)…
A Brain Inspired Learning Algorithm for the Perception of a Quadrotor in Wind
Ajith Anil Meera, Martijn Wisse
The quest for a brain-inspired learning algorithm for robots has culminated in the free energy principle from neuroscience that models the brain's perception and action as an optim…
RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization
Wouter Wolfslag, Mukunda Bharatheesha, Thomas Moerland +1
Sampling-based kinodynamic planners, such as Rapidly-exploring Random Trees (RRTs), pose two fundamental challenges: computing a reliable (pseudo-)metric for the distance between t…