12 citations · 14 across the 3 of their papers we have counts for
5 papers
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised Reinforcement Learning
Vassil Atanassov, Wanming Yu, Alexander Luis Mitchell +2
Representation learning and unsupervised skill discovery can allow robots to acquire diverse and reusable behaviors without the need for task-specific rewards. In this work, we use…
Motion Planning in Dynamic Environments Using Context-Aware Human Trajectory Prediction
Mark Nicholas Finean, Luka Petrović, Wolfgang Merkt +2
Over the years, the separate fields of motion planning, mapping, and human trajectory prediction have advanced considerably. However, the literature is still sparse in providing pr…
Where Should I Look? Optimised Gaze Control for Whole-Body Collision Avoidance in Dynamic Environments
Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis
As robots operate in increasingly complex and dynamic environments, fast motion re-planning has become a widely explored area of research. In a real-world deployment, we often lack…
Simultaneous Scene Reconstruction and Whole-Body Motion Planning for Safe Operation in Dynamic Environments
Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis
Recent work has demonstrated real-time mapping and reconstruction from dense perception, while motion planning based on distance fields has been shown to achieve fast, collision-fr…
Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments
Mark Nicholas Finean, Wolfgang Merkt, Ioannis Havoutis
We present a novel framework for motion planning in dynamic environments that accounts for the predicted trajectories of moving objects in the scene. We explore the use of composit…