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20232026
most citedOne Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

4 citations · 4 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

CrossBFM: Distilling a Shared Latent Behavior Space Across Humanoid Embodiments

Tan-Dzung Do, Tuan Dat Phuong, Nico Bohlinger +6

Behavior Foundation Models (BFMs) give humanoids a promptable policy over a latent behavior space, enabling one single vector to represent a motion to imitate, a pose to reach, or…

cs.AI2026

ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning

Nico Bohlinger, Jan Peters

A goal that is close in space can be far away in time. Obstacles, terrain, and the agent's own capabilities determine how long it takes to get there. Yet, critics in contrastive an…

cs.RO2026

Rapid Embodiment Adaptation for Quadrupedal Locomotion

Dichen Li, Bo Ai, Nico Bohlinger +3

Humans readily adapt their movements as their bodies change through aging, injury, or load carrying, but learning-based robot policies often break when hardware properties shift. W…

cs.RO2026

Shape Your Body: Value Gradients for Multi-Embodiment Robot Design

Nico Bohlinger, Jan Peters

We propose to turn generalist multi-embodiment value functions into reusable models for robot design. Instead of running a new reinforcement learning co-design loop for each robot,…

cs.RO2026

Active Embodiment Identification with Reinforcement Learning for Legged Robots

Nico Bohlinger, Jan Peters

We present an active embodiment identification method for legged robots that jointly learns information-seeking behavior and explicit embodiment prediction. Using a history-augment…

cs.RO2026

Evaluation of an Actuated Spine in Agile Quadruped Locomotion

Nico Bohlinger, Piotr Kicki, Davide Tateo +2

The spine plays a crucial role in the dynamic locomotion of quadrupedal animals, improving the stability, speed, and efficiency of their gait, especially for fast-paced and highly…