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Jean-Paul Laumond

6 accepted papers

2020

Learning Obstacle Representations for Neural Motion Planning

CoRL 2020

Motion planning and obstacle avoidance is a key challenge in robotics applications. While previous work succeeds to provide excellent solutions for known environments, sensor-based motion planning in new and dynamic environments remains to be difficult. In this work we address sensor-based motion pl

2017

Actuator design of compliant walkers via optimal control

IROS 2017poster

We present an optimization framework for the design and analysis of underactuated biped walkers, characterized by passive or actuated joints with rigid or non-negligible elastic actuation/transmission elements. The framework is based on optimal control, dealing with geometric constraints and various…

Cited by 18SourceScholar
2015

Image-based control relying on conic curves foliation for passing through a gate

ICRA 2015poster

This paper presents a geometric approach to the problem of designing visual feedback control laws to steer a nonholonomic vehicle, equipped with a fixed monocular camera, through a gate. The originality of our approach is to introduce and exploit the natural geometry induced by the presence of a gat…

Cited by 2SourceScholar