5 accepted papers
Mobile robot teams often require decentralised autonomous navigation through narrow gaps in limited commu- nication environments (e.g., underground search-and-rescue op- erations). Existing navigation approaches exhibit suboptimal per- formance for avoiding multi-robot collisions in such bottlenecks…
Mobile robot teams often require decentralised autonomous navigation through narrow gaps in limited communication environments (e.g., underground search-and-rescue operations). Existing navigation approaches exhibit suboptimal performance for avoiding multi-robot collisions in such bottlenecks due t
We propose to use a simulation driven inverse inference approach to model the dynamics of tree branches under manipulation. Learning branch dynamics and gaining the ability to manipulate deformable vegetation can help with occlusion-prone tasks, such as fruit picking in dense foliage, as well as mov
Leveraging both the autonomy of robots and the expert knowledge of humans can enable a multi-robot system to complete missions in challenging environments with a high degree of adaptivity and robustness. This paper proposes a multi-modal task-based graphical user interface for controlling a heteroge…
We present a novel approach to motion planning for autonomous ground vehicles by formulating motion primitives as probabilistic distributions of trajectories (aka probabilistic motion primitives - ProMP) and performing stochastic optimisation on them for finding an optimal path. We show that compar…