Papers
18
Total Citations
257
H-Index
8
About
Karl Reichard is a leading researcher in mobile robotics, with a primary focus on the modeling, control, and energy-efficient operation of skid-steer robots. His most influential work centers on the use of track or wheel Instantaneous Centers of Rotation (ICRs) to develop advanced kinematic models. Reichard’s key contributions include the creation of a kinematic extended Kalman filter for online ICR estimation, which dramatically improves odometry and motion prediction for these complex, slipping-prone vehicles. His work has been cited over 230 times, with his seminal 2014 paper on model-based prediction receiving 86 citations. Beyond kinematics, Reichard has pioneered energy-aware path planning, developing models that predict and minimize power consumption across mixed surfaces and hilly terrain. He has also applied his expertise to critical infrastructure inspection, notably leading research on robotic systems for assessing the structural integrity of dry storage casks for spent nuclear fuel. His work on intelligent self-situational awareness further demonstrates his commitment to creating autonomous systems that can assess their own health and operational risk, enhancing both capability and safety.
Research Focus
Key Achievements
Top Papers
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- 2Toward Robotic Inspection of Dry Storage Casks for Spent Nuclear Fuel27 citations · 2017
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- 6Energy-Aware Path Planning for Skid-Steer Robots Operating on Hilly Terrain20 citations · 2020
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