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cs.RO2026

Exploring Nonlinear Body Oscillations for Natural Quadruped Gaits

Annika Schmidt, Davide Calzolari, Arne Sachtler +13

Animals' body morphology shapes the gait patterns they can perform, where mechanical resonance reduces the need for active control. By tuning posture and muscle stiffness, they lev…

cs.RO2026

ErgoSurf: Ergodic Control for the Coverage of Unknown Surfaces

Stefan Schneyer, Timo Bachmann, Maged Iskandar +4

Contact-centric tasks on surfaces, ranging from inspection and cleaning to sanding and polishing, require robots to systematically cover the surface while maintaining stable contac…

cs.RO2026

CLASP: Language-Driven Robot Skill Selection and Composition using Task-Parameterized Learning

Markus Knauer, Valentin Gieraths, Tai Mai +4

Enabling robots to understand and execute tasks from natural language commands while maintaining data efficiency remains challenging. Foundation models such as vision-language-acti…

cs.RO2026

Locomotion of an Elastic Snake Robot via Natural Dynamics

Tristan Ehlert, Arne Sachtler, Annika Schmidt +2

Nature suggests that exploiting the elasticities and natural dynamics of robotic systems could increase their locomotion efficiency. Prior work on elastic snake robots supports thi…

cs.RO2026

Passive Variable Impedance For Shared Control

Maximilian Mühlbauer, Nepomuk Werner, Ribin Balachandran +4

Shared Control methods often use impedance control to track target poses in a robotic manipulator. The guidance behavior of such controllers is shaped by the used stiffness gains,…

cs.RO2026

MOMO: A framework for seamless physical, verbal, and graphical robot skill learning and adaptation

Markus Knauer, Edoardo Fiorini, Maximilian Mühlbauer +10

Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefi…