When robots fail: The complex processes of learning and development
Related Experiment Video
Updated: Jul 7, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Ludovic Marin1, Olivier Oullier
1Sport, Performance and Health Laboratory, University of Montpellier 1, F-34000 Montpellier, France l.marin@staps.univ-montp1.fr.
Abstract:
Although robots can contribute to the understanding of biological behavior, they fail to model the processes by which humans cope with their environment. Both development and learning are characterized by complex relationships that require constant modification. Given present technology, robots can only model behaviors in specific situations and during discrete stages. Robots cannot master the complex relationships that are the hallmark of human behavior.
Related Concept Videos
Stereotype Content Model
Avoidance Learning and Learned Helplessness
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Introduction to Learning
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
Machines: Problem Solving II
Control Systems
At the heart...
Automatic Processing and Automatic Social Behavior
