Abstract
In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot.
| Original language | English |
|---|---|
| Title of host publication | BIOROB 2018 - 7th IEEE International Conference on Biomedical Robotics and Biomechatronics |
| Publisher | IEEE Computer Society |
| Pages | 1127-1132 |
| Number of pages | 6 |
| Volume | 2018-August |
| ISBN (Electronic) | 9781538681831 |
| DOIs | |
| Publication status | Published - Oct 9 2018 |
| Event | 7th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BIOROB 2018 - Enschede, Netherlands Duration: Aug 26 2018 → Aug 29 2018 |
Conference
| Conference | 7th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, BIOROB 2018 |
|---|---|
| Country | Netherlands |
| City | Enschede |
| Period | 8/26/18 → 8/29/18 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Biomedical Engineering
- Mechanical Engineering
Cite this
Insect-Inspired Body Size Learning Model on a Humanoid Robot. / Arena, Paolo; Patané, Luca; Sanalitro, Dario; Vitanza, Alessandra.
BIOROB 2018 - 7th IEEE International Conference on Biomedical Robotics and Biomechatronics. Vol. 2018-August IEEE Computer Society, 2018. p. 1127-1132 8487635.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Insect-Inspired Body Size Learning Model on a Humanoid Robot
AU - Arena, Paolo
AU - Patané, Luca
AU - Sanalitro, Dario
AU - Vitanza, Alessandra
PY - 2018/10/9
Y1 - 2018/10/9
N2 - In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot.
AB - In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot.
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U2 - 10.1109/BIOROB.2018.8487635
DO - 10.1109/BIOROB.2018.8487635
M3 - Conference contribution
VL - 2018-August
SP - 1127
EP - 1132
BT - BIOROB 2018 - 7th IEEE International Conference on Biomedical Robotics and Biomechatronics
PB - IEEE Computer Society
ER -