Sampling-based motion planning algorithms are highly effective in finding global paths in geometrically-complex environments. However, classical approaches, such as RRT, are …
Recent advances in artificial intelligence and machine learning have significantly impacted the field of robotics and led to the interdisciplinary study of robot learning. These …
While planning models are symbolic and precise, the real world is noisy and unstructured. This work aims to bridge the gap between noise and structure by aligning visualizations of …
An Expansive Latent Planner for Long-horizon Visual Offline RL Page 1 An Expansive Latent Planner for Long-horizon Visual Offline RL Robert Gieselmann (robgie@kth.se) and Florian T …