Project Info
Robot networks
Neil Dantam
ndantam@mines.edu
Project Goals and Description:
Robot teams must communicate, and their ability to communicate is coupled to how they move. This project analyzes the connections between robot networks, motion, and wireless communication. We combine decision-making about robot motion and robot networks in scenarios where robots must explore, observe, and communication results.
More Information:
Grand Challenge: Not applicable.
M. Schack, J. Rogers, Q. Han, and N. Dantam. Optimizing Non-Markovian Information Gain under Physics-based Communication Constraints. IEEE Robotics and Automation Letters (RA-L). 2021.
http://dyalab.mines.edu/papers/schack2021optimizing.pdf
M. Schack, J. Rogers, Q. Han, and N. Dantam. Optimization-Based Robot Team Exploration Considering Attrition and Communication Constraints. International Conference on Intelligent Robots and Systems (IROS), IEEE/RSJ. 2021.
http://dyalab.mines.edu/papers/schack2021disconnection.pdf
Primary Contacts:
Neil Dantam, ndantam@mines.edu | Qi Han, qhan@mines.edu.
Student Preparation
Qualifications
Student must be familiar with programming and data structures. Necessary Courses: CSCI-262. Desired Courses: CSCI-358.
TIME COMMITMENT (HRS/WK)
5
SKILLS/TECHNIQUES GAINED
Student will develop an understanding of wireless communication, robot teams, and motion planning. Student will learn methods and algorithms for robot planning and constraint solving.
MENTORING PLAN
Weekly individual meetings with the MURF student and faculty member to discuss progress and provide directed guidance. Biweekly meetings with collaborators. Weekly lab meetings to discuss the overall project and integration. Assigned graduate student mentor for the MURF student.
PREFERRED STUDENT STATUS
Sophomore
Junior
Senior