Search
Navigator: RI | People | Parag Batavia
Graphics enhanced version of this site
Parag Batavia
NREC Commercialization Specialist
No longer a member of RI.
Jump to:
Research interests |
Keywords |
Labs & Groups |
Projects |
Publications
Research interests
I am primarily interested in the applications of robotics technology to areas which can have a high impact on everyday life. My work in field robotics, personal robotics, and driver safety is aimed at this goal.
Field Robotics: My current work in this area involves automated turf management. Managing large areas of "green space," such as golf courses, sports fields, and city parks is a costly, labor intensive task. For instance, mowing a golf course requires great precision, to create the cross hatch patterns which are required. Automating this task requires addressing three main issues: High precision navigation, robust obstacle detection, and user interface development. I am interested in the development of all of these areas, combining them to make a useful, robust, system for turf management.
Personal Robots: It is now possible for the average person to own a robot. Although currently aimed primarily at hobbyists (Mindstorms, Aibo, Cye), their ability to do useful work, such as aid people with disabilities, is increasing. My work in this area has been in path planning, specialized to work in areas with dynamic clutter (such as houses). These planners are computationally efficient, and take into account environmental uncertainty. At the same time, they generate paths which are "human-like," by centering on corridors, taking appropriate shortcuts, and avoiding obstacles.
Driver Assistance: Each year, about 40,000 people are killed in highway accidents. A large number of these fatalities are due to Single Vehicle Roadway Departure accidents. My interest in this area is in developing models of driver behavior which can be used to modulate a lane departure warning system. I.e., we learn if a particular driver normally maintains "tight" lane control. If this is the case, then we can warn when the driver is behaving abnormally, usually much earlier than we can for someone who is normally a "loose" driver.
Research interest keywords
computer vision, field robotics, mobile robots, motion planning, and obstacle avoidance
Past Labs & Groups
-
NavLab - Autonomous Vehicles and Driver Assistance
Past Projects
-
Automated Turf Management - This project deals with automated management and mowing of large areas of turf, such as golf courses, sports fields, and parks
-
Run-Off-Road - The Run Off Road Collision Countermeasures program assists drivers by monitoring the vehicle's position in
the lane while a person drives.
Recent publications [View all 11 publications]
- Autonomous Coverage Operations in Semi-Structured Outdoor Environments
P. Batavia, unknown, and S. Singh
2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '02), October, 2002.
[Abstract]
Download: pdf [269 KB] copyrighted
- Evaluating Path Tracker Performance for Outdoor Mobile Robots
S.A. Roth and P. Batavia
Automation Technology for Off-Road Equipment, July, 2002.
[Abstract]
Download: pdf [107 KB] copyrighted
- Obstacle Detection in Smooth High Curvature Terrain
P. Batavia and S. Singh
Proceedings of the IEEE Conference on Robotics and Automation (ICRA '02), May, 2002.
Download: pdf [255 KB] copyrighted
- Obstacle Detection Using Adaptive Color Segmentation and Color Stereo Homography
P. Batavia and S. Singh
Proceedings of the IEEE International Conference on Robotics and Automation, IEEE, May, 2001.
[Abstract]
Download: pdf [423 KB], ps.gz [1890 KB] copyrighted
- Path Planning for the Cye Robot
P. Batavia and I. Nourbakhsh
Proceedings of IROS 2000, Vol. 1, October, 2000, pp. 15 - 20.
[Abstract]
Download: pdf [79 KB] copyrighted
- Driver Adaptive Lane Departure Warning Systems
P. Batavia
doctoral dissertation, tech. report CMU-RI-TR-99-25, Robotics Institute, Carnegie Mellon University, September, 1999.
[Abstract]
Download: pdf [4738 KB] copyrighted
- Predicting Lane Position for Roadway Departure Prevention
P. Batavia, D. Pomerleau, and C. Thorpe
Proceedings of the IEEE Intelligent Vehicles Symposium, IEEE, October, 1998.
[Abstract]
Download: pdf [73 KB], ps.gz [71 KB] copyrighted
- Driver Adaptive Warning Systems
P. Batavia
tech. report CMU-RI-TR-98-07, Robotics Institute, Carnegie Mellon University, March, 1998.
[Abstract]
Download: pdf [461 KB] copyrighted
- Overtaking Vehicle Detection Using Implicit Optical Flow
P. Batavia, D. Pomerleau, and C. Thorpe
Proceedings of the IEEE Transportation Systems Conference, November, 1997, pp. 729 - 734.
[Abstract]
Download: pdf [55 KB], ps.gz [242 KB] copyrighted
- Detecting Overtaking Vehicles With Implicit Optical Flow
P. Batavia, D. Pomerleau, and C. Thorpe
tech. report CMU-RI-TR-97-28, Robotics Institute, Carnegie Mellon University, 1997.
[Abstract]
Download: pdf [173 KB], ps.gz [849 KB] copyrighted
The Robotics Institute is part of the
School of Computer Science,
Carnegie Mellon University.
For updates and comments, please see these
instructions.
This page maintained by robotwebmaster@ri.cmu.edu