9 citations · 18 across the 10 of their papers we have counts for
4 papers · 1 filter
Combining Machine Learning and Sampling-Based Search for Multi-Goal Motion Planning with Dynamics
Yuanjie Lu, Erion Plaku
This paper considers multi-goal motion planning in unstructured, obstacle-rich environments where a robot is required to reach multiple regions while avoiding collisions. The plann…
Multi-Goal Motion Memory
Yuanjie Lu, Dibyendu Das, Erion Plaku +1
Autonomous mobile robots (e.g., warehouse logistics robots) often need to traverse complex, obstacle-rich, and changing environments to reach multiple fixed goals (e.g., warehouse…
Motion Memory: Leveraging Past Experiences to Accelerate Future Motion Planning
Dibyendu Das, Yuanjie Lu, Erion Plaku +1
When facing a new motion-planning problem, most motion planners solve it from scratch, e.g., via sampling and exploration or starting optimization from a straight-line path. Howeve…
Guided Sampling-Based Motion Planning with Dynamics in Unknown Environments
Abhish Khanal, Hoang-Dung Bui, Gregory J. Stein +1
Despite recent progress improving the efficiency and quality of motion planning, planning collision-free and dynamically-feasible trajectories in partially-mapped environments rema…