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Learning to bounce: first lessons from a bouncing robot

conference contribution
posted on 2023-06-07, 22:53 authored by Max Lungarella, Luc BerthouzeLuc Berthouze
The study of how infants learn to bounce, while being supported by a harness attached to a spring, sheds light on how infants learn to exploit the dynamics of their exploratory motion. The emerging rhythmical activity result of an entrainment among neural system, musculo-skeletal system, and surrounding environment is a salient characteristic of a developing body control during the rst year of life. In this paper, we describe and discuss the results of four preliminary experiments realized with a small-sized humanoid robot harnessed in a jolly jumper, and whose leg joints are controlled by neural oscillators. While the two rst experiments see the robot oscillate freely in space, the last experiments have the robot touch the ground during oscillations so as to characterise the effects of ground interaction. An appropriate choice of the parameters of the neural oscillators lead to sustained and stable bouncing.


Publication status

  • Published


Proceedings of the 2nd International Symposium on Adaptive Motion of Animals and Machines



Event name

2nd International Symposium on Adaptive Motion of Animals and Machines

Event location

Kyoto, Japan

Event type


Event date

4-8 March 2003

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

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