Lukas Burkhard
Papers
2
Total Citations
9
H-Index
2
About
Lukas Burkhard is a robotics researcher focused on enabling autonomous systems to navigate and operate in extreme, unstructured environments—particularly those relevant to planetary exploration. His work addresses two critical challenges: accessing hazardous terrain like craters and caves, and maintaining accurate robot state estimation when conventional kinematic models fail. In his highly cited 2024 paper on collaborative multi-rover crater exploration, part of the ARCHES analog mission, Burkhard demonstrated how teams of heterogeneous robots can cooperatively access and survey terrain that would be impossible for a single rover, tackling the fundamental trade-off between innovative locomotion and mission complexity. More recently, his 2025 work introduces PK-ROKED, a learning-based pipeline that probabilistically estimates a robot's pose relative to a camera, even when forward kinematics are unreliable due to elastic or lightweight modules. By integrating probabilistic 2D keypoint detection, this approach allows robots to "see through uncertainty" and maintain robust localization in the field. With over 9 citations already for his early-career work, Burkhard is establishing himself as a rising voice in field robotics, bridging the gap between theoretical perception algorithms and practical, mission-ready systems for space exploration.
Research Focus
Key Achievements
Top Papers
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