Robotics, Motor Skill Learning, Reinforcement Learning, Control
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E226, Building S2|02
Attach:kai.jpg Δ Kai joined the Intelligent Autonomous Systems Group at TU Darmstadt as a Ph.D. researcher in January 2021. Previously, he received his bachelor‘s degree in Electrical Engineering and Information Technology from TU Dortmund, as well as his master’s degree in Autonomous Systems from TU Darmstadt.
During his studies on dynamic motor skill learning, Kai completed several applied projects, including his master's thesis on "High acceleration reinforcement learning for real-world juggling with binary rewards" at IAS and his bachelor's thesis on the "Generation of locomotion patterns for a compliantly actuated quadruped with modally matched legs" at the German Aerospace Center (DLR).
Ploeger, K.; Peters, J. (2022). Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article [PDF] BibTeX Reference [BibTex]
Ploeger, K.; Lutter, M.; Peters, J. (2020). High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards, Conference on Robot Learning (CoRL). Download Article [PDF] BibTeX Reference [BibTex]
Liu, Z.; Ploeger, K.; Stark, S.; Rueckert, E.; Peters, J. (2019). Learning walk and trot from the same objective using different types of exploration, arXiv. Download Article [PDF] BibTeX Reference [BibTex]
Lakatos, D.; Ploeger, K; Loeffl, F; Seidel, D; Schmidt, F; Gumpert, T; John, F; Bertram, T; Albu-Schäffer, A (2018). Dynamic locomotion gaits of a compliantly actuated quadruped with slip-like articulated legs embodied in the mechanical design, IEEE Robotics and Automation Letters.
Download Article [PDF] BibTeX Reference [BibTex]