17 citations · 51 across the 25 of their papers we have counts for
27 papers
Realistic adversarial scenario generation via human-like pedestrian model for autonomous vehicle control parameter optimisation
Yueyang Wang, Mehmet Dogar, Russell Darling +1
Autonomous vehicles (AVs) are rapidly advancing and are expected to play a central role in future mobility. Ensuring their safe deployment requires reliable interaction with other…
Pack it in: Packing into Partially Filled Containers Through Contact
David Russell, Zisong Xu, Maximo A. Roa +1
The automation of warehouse operations is crucial for improving productivity and reducing human exposure to hazardous environments. One operation frequently performed in warehouses…
Realistic pedestrian-driver interaction modelling using multi-agent RL with human perceptual-motor constraints
Yueyang Wang, Mehmet Dogar, Gustav Markkula
Modelling pedestrian-driver interactions is critical for understanding human road user behaviour and developing safe autonomous vehicle systems. Existing approaches often rely on r…
Sampling-Based Model Predictive Control for Dexterous Manipulation on a Biomimetic Tendon-Driven Hand
Adrian Hess, Alexander M. Kübler, Benedek Forrai +2
Biomimetic and compliant robotic hands offer the potential for human-like dexterity, but controlling them is challenging due to high dimensionality, complex contact interactions, a…
Online state vector reduction during model predictive control with gradient-based trajectory optimisation
David Russell, Rafael Papallas, Mehmet Dogar
Non-prehensile manipulation in high-dimensional systems is challenging for a variety of reasons. One of the main reasons is the computationally long planning times that come with a…
The Teenager's Problem: Efficient Garment Decluttering as Probabilistic Set Cover
Aviv Adler, Ayah Ahmad, Yulei Qiu +9
This paper addresses the "Teenager's Problem": efficiently removing scattered garments from a planar surface into a basket. As grasping and transporting individual garments is high…