Learning interactions with and about robotic models
Abstract
References
Index Terms
- Learning interactions with and about robotic models
Recommendations
Biomimetic application of desert ant visual navigation for mobile robot docking with weighted landmarks
Previous work has shown that honeybees use a snapshot model to determine a local vector to find their way home. A simpler, average landmark vector model has since been proposed for biologically-inspired mobile robot homing. Previously, the authors have ...
Learning Object Affordances: From Sensory--Motor Coordination to Imitation
Affordances encode relationships between actions, objects, and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the problem of learning affordances through the interaction of a robot with ...
An HVSM for improving the homing ability of visual robots
The ability of insects returning home after being displaced far away from home is remarkable while the homing ability of existing robot navigators is often limited. The snapshot model is a computational model developed by biologists for investigating ...
Comments
Information & Contributors
Information
Published In

- General Chairs:
- Gerhard Sagerer,
- Michita Imai,
- Program Chairs:
- Tony Belpaeme,
- Andrea Thomaz
Sponsors
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- RA: IEEE Robotics and Automation Society
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Poster
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 82Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in