Papers
6
Total Citations
113
H-Index
5
About
Ran Dai is a leading researcher in autonomous robotics, specializing in the intersection of path planning, energy management, and multi-robot coordination. Her work focuses on developing novel optimization frameworks for robotic systems operating under complex constraints, particularly in energy-constrained environments. Her most significant contribution is the development of integrated path planning and power management strategies for solar-powered robots, as demonstrated in her highly cited 2016 paper (62 citations) on time-optimal path planning for solar-powered ground vehicles. This work pioneered methods for minimizing travel time while accounting for variable solar energy availability. Dai has also made substantial contributions to mixed-type decision-making in robotics, addressing the challenging problem of combining continuous and discrete decision variables in robotic control systems. Her research extends to multi-robot teams, including innovative work on cooperative mission planning with solar-powered charging stations and teams of jumping rovers. With over 100 total citations across her key publications, Dai has established herself as an innovator in energy-aware robotics, terrain classification for solar mapping, and task allocation for heterogeneous robot teams. Her work has significant implications for long-duration autonomous missions in remote or hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Motion Planning and Task Allocation for a Jumping Rover Team7 citations · 2020
- 6