The control of dynamical systems becomes increasingly important as the era of robotics research dominated by quasi-static machines rapidly comes to a close. Similarly, the importance of state estimation grows as robotic applications require robots to function in larger, more complex environments. My research addresses both of these issues by focusing on the dual problems of controlling robotic mechanisms with non-trivial dynamics and perceiving the state of world through indirect measurements. My approach is both analytical and experimental: I use mathematics to understand the physical behavior of a given system and then use that understanding to create algorithms for control or estimation. I strive to develop new theoretical concepts and translate them into real-world implementations that solve problems such as balancing an unstable robot or estimating the location of an autonomous vehicle.
View projects and other research being done in the KantorLab.
Research Topics
- Field & Service Robotics
- Robotics in Agriculture and Forestry
- Intelligent Transportation Systems
- Underwater Robotics
- Mining Robotics
- Robots for Education
- Wheeled Robots
- Dynamics
- Kinematics
- Motion Planning
- Sensing and Estimation
- Robotics Foundations
- Sensing & Perception
- Human-Centered Robotics
- Robot Structures
- Robotics for Scientific Discovery
current phd students
current masters students
current affiliates
past phd students
past masters students
- Justin Abel
- Harjatin Singh Baweja
- Donald Burnette
- Wei-Hsin Chou
- Rohan Deshpande
- David Hastings Ferguson
- Harry Freeman
- Merritt Jenkins
- Winnie Kuang
- James S. Lee
- Cong Li
- Guan-Horng Liu
- Daniel Lu
- John Mai
- Timothy Mueller-Sim
- Anjana Kakecochi Nellithimaru
- Tanvir Pal Singh Parhar
- Mohamad Qadri
- Shastri Ram
- Eric Schneider
- Shawn (Weizhao) Shao
- Bhaskar Vaidya
- Abhinav Valada