Publications

Conferences

  1. Bohlinger, N.; Czechmanowski, G.; Krupka, M.; Kicki, P.; Walas, K.; Peters, J.; Tateo, D. (2024). One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion, Conference on Robot Learning (CoRL).
  2. Wilinski, M.; Lysakowski, M.; Walas, K. (2024). HAPmamba: Linear-Time Sequence Modeling for Terrain Classification by Legged Robots, Walking Robots into Real World: Proceedings of the CLAWAR 2024 Conference.
  3. Bohlinger, N.; Czechmanowski, G.; Krupka, M.; Kicki, P.; Walas, K.; Peters, J.; Tateo, D. (2025). Morphology-Aware Legged Locomotion with Reinforcement Learning, German Robotics Conference (GRC).
  4. Bohlinger, N.; Peters, J. (2025). Massively Scaling Explicit Policy-conditioned Value Functions, Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM).
  5. Bohlinger, N.; Stasica, M.; Bick, A.; Mohseni, O.; Fritzsche, J.; Hübler, C.; Peters, J.; Seyfarth, A. (2025). Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations, International Conference on Intelligent Robots and Systems (IROS).
  6. Bohlinger, N.; Kinzel, J.; Palenicek, D.; Antczak, L.; Peters, J. (2025). Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion, International Conference on Intelligent Robots and Systems (IROS).
  7. Aditya, D.; Huang, J.; Bohlinger, N.; Kicki, P.; Walas, Peters, J.; Luperto, M.; Tateo, D. (2025). Robust Localization, Mapping, and Navigation for Quadruped Robots, European Conference on Mobile Robots (ECMR).
  8. Bohlinger, N.; Ai, B.; Dai, L.; Li, D.; Mu, T.; Wu, Z.; Fay, K.; Christensen, H.I.; Peters, J.; Su, H. (2025). Towards Embodiment Scaling Laws in Robot Locomotion, Conference on Robot Learning (CoRL).

Workshops and other publications

  1. Bohlinger, N.; Tateo, D.; Kicki, P.; Walas, K.; Peters, J. (2024). Benefits of an Actuated Spine in Agile Quadruped Locomotion, ICRA 2024 Workshop on Bio-inspired Robotics and Robotics for Biology.
  2. Bohlinger, N.; Czechmanowski, G.; Krupka, M.; Kicki, P.; Walas, K.; Peters, J.; Tateo, D. (2024). One Policy to Run Them All: Towards an End-to-end Learning Approach to Multi-Embodiment Locomotion, RSS 2024 Workshop on Embodiment-Aware Robot Learning.
  3. Bohlinger, N.; Czechmanowski, G.; Krupka, M.; Kicki, P.; Walas, K.; Peters, J.; Tateo, D. (2024). One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion, CoRL 2024 Morphology-Aware Policy and Design Learning Workshop.
  4. Bohlinger, N.; Czechmanowski, G.; Krupka, M.; Kicki, P.; Walas, K.; Peters, J.; Tateo, D. (2025). Learning Robot Locomotion for Multiple Embodiments, The 12th International Symposium on Adaptive Motion of Animals and Machines and 2nd LokoAssist Symposium (AMAM).
  5. Bohlinger, N.; Ai, B.; Dai, L.; Li, D.; Mu, T.; Wu, Z.; Fay, K.; Christensen, H.I.; Peters, J.; Su, H. (2025). Towards Embodiment Scaling Laws in Robot Locomotion, RSS 2025 Workshop on Robot Hardware-Aware Intelligence.
  6. Bohlinger, N.; Kinzel, J.; Palenicek, D.; Antczak, L.; Peters, J. (2025). Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion, European Workshop on Reinforcement Learning (EWRL).
  7. Bohlinger, N.; Peters, J. (2025). Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization, Humanoids 2025 Workshop on Sim-to-Real Transfer for Humanoid Robots.
  8. Bohlinger, N.; Peters, J. (2025). Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization, IROS 2025 Workshop on Challenges and Application Prospects for Reconfigurable Modular Robots.
  9. Bohlinger, N.; Peters, J. (2025). Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization, IROS 2025 Workshop on Foundation Models for Robotic Design.
  10. Bohlinger, N.; Kicki, P.; Tateo, D.; Walas, K.; Peters, J. (2025). Evaluation of an Actuated Spine in Agile Quadruped Locomotion, IROS 2025 Workshop on Climbing Robotics.
  11. Kicki, P. (2025). LP-MPPI: Enhancing Model Predictive Path Integral Control with Low-Pass Sample Filtering, Late Breaking Results of IEEE/RSJ International Conference on Intelligent Robots and Systems.