Bayesian Robot Programming

Bayesian Robot Programming

We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are demonstrated through a succession of increasingly complex experiments. Starting from the learning of simple reactive behaviors, we present instances of behavior combinations, sensor fusion, hierarchical behavior compos...

Interactive Multimodal Robot Programming Interactive Multimodal Robot Programming

As robots enter the human environment and come into contact with inexperienced users, they need to be able to interact with users in a multimodal fashion—keyboard and mouse are no longer acceptable as the only input modalities. In this paper we introduce a novel approach for programming robots interactively through a multimodal interface. The key characteristic of this approach is that the user...

Robot Progra 59 . Robot Programming by Demonstration

Robot Programming and Constraints

Constraints play a central role in the analysis and planning of robot motion. We suggest that constraints form an appropriate language with which to program robot motion as well and describe the Least Constraint framework.

Live Robot Programming

Typically, development of robot behavior entails writing the code, deploying it on a simulator or robot and running it for testing. If this feedback reveals errors, the programmer mentally needs to map the error in behavior back to the source code that caused it before being able to fix it. This process suffers from a large cognitive distance between the code and the resulting behavior, which s...