1.5k citations · 3.3k across the 27 of their papers we have counts for
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A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets
Lukas Bernreiter, Shehryar Khattak, Lionel Ott +3
The exploration of large-scale unknown environments can benefit from the deployment of multiple robots for collaborative mapping. Each robot explores a section of the environment a…
LiDAR-guided object search and detection in Subterranean Environments
Manthan Patel, Gabriel Waibel, Shehryar Khattak +1
Detecting objects of interest, such as human survivors, safety equipment, and structure access points, is critical to any search-and-rescue operation. Robots deployed for such time…
Advanced Skills by Learning Locomotion and Local Navigation End-to-End
Nikita Rudin, David Hoeller, Marko Bjelonic +1
The common approach for local navigation on challenging environments with legged robots requires path planning, path following and locomotion, which usually requires a locomotion c…
Marsupial Walking-and-Flying Robotic Deployment for Collaborative Exploration of Unknown Environments
Paolo De Petris, Shehryar Khattak, Mihir Dharmadhikari +6
This work contributes a marsupial robotic system-of-systems involving a legged and an aerial robot capable of collaborative mapping and exploration path planning that exploits the…
Elevation Mapping for Locomotion and Navigation using GPU
Takahiro Miki, Lorenz Wellhausen, Ruben Grandia +3
Perceiving the surrounding environment is crucial for autonomous mobile robots. An elevation map provides a memory-efficient and simple yet powerful geometric representation for gr…
Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
Eric Vollenweider, Marko Bjelonic, Victor Klemm +3
In recent years, reinforcement learning (RL) has shown outstanding performance for locomotion control of highly articulated robotic systems. Such approaches typically involve tedio…