56 citations · 101 across the 11 of their papers we have counts for
12 papers
Emotion in an active inference model of human driving
Julian F. Schumann, Johan Engström, Ran Wei +3
Active inference has emerged as a principled framework for modeling adaptive behavior by balancing goal-directed action with uncertainty reduction. It has been successfully applied…
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…
Dynamic Optimization Fabrics for Motion Generation
Max Spahn, Martijn Wisse, Javier Alonso-Mora
Optimization fabrics are a geometric approach to real-time local motion generation, where motions are designed by the composition of several differential equations that exhibit a d…
Free Energy Principle for the Noise Smoothness Estimation of Linear Systems with Colored Noise
Ajith Anil Meera, Martijn Wisse
The free energy principle (FEP) from neuroscience provides a framework called active inference for the joint estimation and control of state space systems, subjected to colored noi…
Active Inference in Robotics and Artificial Agents: Survey and Challenges
Pablo Lanillos, Cristian Meo, Corrado Pezzato +8
Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning. Recently, it ha…
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…
Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
Corrado Pezzato, Carlos Hernandez Corbato, Stefan Bonhof +1
We propose a hybrid combination of active inference and behavior trees (BTs) for reactive action planning and execution in dynamic environments, showing how robotic tasks can be fo…
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…
Team Delft's Robot Winner of the Amazon Picking Challenge 2016
Carlos Hernandez, Mukunda Bharatheesha, Wilson Ko +13
This paper describes Team Delft's robot, which won the Amazon Picking Challenge 2016, including both the Picking and the Stowing competitions. The goal of the challenge is to autom…
Pico- and nanosecond laser ablation of mixed tungsten / aluminium films
M. Wisse, L. Marot, R. Steiner +5
In order to extend the investigation of laser-assisted cleaning of ITER-relevant first mirror materials to the picosecond regime, a commercial laser system delivering 10 picosecond…
Laser damage thresholds of ITER mirror materials and first results on in situ laser cleaning of stainless steel mirrors
M. Wisse, L. Marot, B. Eren +3
A laser ablation system has been constructed and used to determine the damage threshold of stainless steel, rhodium and single-, poly- and nanocrystalline molybdenum in vacuum, at…