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Author

Taisuke Kobayashi

2 papers indexed here

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Preprint Oct 2026

Distance Field Driven Reinforcement Learning for Reactive and Robust Collision Avoidance

Robust and reactive collision avoidance remains a central challenge for deploying Reinforcement Learning (RL) policies on real robotic manipulators, particularly when transferring behaviours learned in simulation to the physical world. This paper presents an RL framework that integrates the Euclidean Distance Field (ED...

Taiga Ikeshima, Sheila Sutjipto, Lan Wu et al. · 0 citations
Open access Sep 2026

From Instruction to Inheritance: Scaling Robot Learning Through Knowledge Circulation

Robot learning, particularly through vision–language–action (VLA) models, has rapidly improved the ability of robots to execute instructed tasks. However, the current mainstream paradigm of robot learning largely depends on one‐way instruction from humans to robots, lacking a cyclical structure in which knowledge acqui...

Kento Kawaharazuka, Shunki Itadera, Kohei Honda et al. · 0 citations

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