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Alvaro Soto
PhD Student
No longer a member of RI.
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Keywords |
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Publications
As the state of the art of computing technology is advancing, computer-based machines are starting to perform new types of tasks in less structured and less predictable environments. Possible scenarios could include a mobile robot wondering in a natural environment or a virtual agent exploring a huge astronomical database looking for new type of celestial objects. My research goal is the creation of computer programs that allow these machines to succeed through an adequate mining of the information acquired by the agent.
The kinds of algorithms I work with are mainly based on probabilistic reasoning. Currently I am working in an adaptive visual system able to selectively combine and exchange different algorithms according to the quality of their information. The approach keep track of the posterior probability of the state of the system, this can give you information about how far are you pushing the limits of the algorithms. For example, if you are using an algorithm base on color information and the posterior probability is flat of with many peaks, it is likely that it will fail, so it is time to start new algorithms based on different cues such as depth or motion.
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artificial intelligence, computer vision, machine learning, mobile robots, multi-agent systems, and statistics
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Advanced Mechatronics Lab - Research on distributed robotics, distributed informations systems, sensor based robotics, and reconfigurable systems.
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CyberATV - We have developed two Unmanned Ground Vehicles (UGVs) (by retrofitting two Polaris all-terrain vehicles (ATVs)
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Sage - Sage is a completely autonomous mobile multimedia exhibit built on top of the XR4000 robot base by Nomadic Technologies, Inc.
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Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- A Probabilistic Approach for the Adaptive Integration of Multiple Visual Cues Using an Agent Framework
A. Soto
doctoral dissertation, tech. report CMU-RI-TR-02-30, Robotics Institute, Carnegie Mellon University, October, 2002.
[Abstract]
Download: pdf [3197 KB] copyrighted
- Probabilistic Adaptive Agent Based System for Dynamic State Estimation Using Multiple Visual Cues
A. Soto and P. Khosla
10th International Symposium of Robotics Research (ISRR 2001). November 9th - 12th, 2001Lorne, Victoria, Australia., November, 2001.
[Abstract]
Download: pdf [2798 KB] copyrighted
- Adaptive Agent Based System for Knowledge Discovery in Visual Information
A. Soto
November, 2000.
[Abstract]
- Recent Advances in Distributed Tactical Surveillance
M. Saptharishi, K. Bhat, C. Diehl, S. Oliver, M. Savvides, A. Soto, J. Dolan, and P. Khosla
SPIE Proceedings on Unattended Ground Sensor Technologies and Applications (AeroSense 2000), Vol. 4040, April, 2000, pp. 199-208.
Download: pdf [334 KB] copyrighted
- An Affective Mobile Educator with a Full-time Job
I. Nourbakhsh, J. Bobenage, S. Grange, R. Lutz, R. Meyer, and A. Soto
Artificial Intelligence, Vol. 114, No. 1 - 2, October, 1999, pp. 95 - 124.
Download: pdf [280 KB] copyrighted
- Cyber-ATVs: Dynamic and Distributed Reconnaissance and Surveillance Using All-Terrain UGVs
A. Soto, M. Saptharishi, A. Trebi-Ollennu, J. Dolan, and P. Khosla
Proceedings of the International Conference on Field and Service Robotics, August, 1999, pp. 329-334.
[Abstract]
Download: pdf [463 KB] copyrighted
- Distributed Tactical Surveillance with ATVs
J. Dolan, A. Trebi-Ollennu, A. Soto, and P. Khosla
SPIE Proceedings on Unmanned Ground Vehicle Technology (AeroSense '99), Vol. 3693, April, 1999, pp. 192-199.
[Abstract]
Download: pdf [350 KB] copyrighted
- A Scenario for Planning Visual Navigation of a Mobile Robot
A. Soto and I. Nourbakhsh
American Association for Artificial Intelligence (AAAI), 1998 Fall Symposium Series, October, 1998.
[Abstract]
Download: pdf [17 KB] copyrighted
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