6 papers · 1 filter
Continuous-Time Gaussian Belief Trees for Motion Planning
Rayan Mazouz, Qi Heng Ho, Zachary N. Sunberg +1
We address sampling-based motion planning for continuous-time stochastic systems under process and measurement uncertainty, with probabilistic guarantees on safety and performance.…
Provably Safe Motion Planning Under Unknown Disturbances
Ibon Gracia, Qi Heng Ho, Luca Laurenti +1
We present a provably safe sampling-based motion planning algorithm for robotic systems affected by random disturbances of unknown distribution. We consider systems with linear or…
Sampling-based Task and Kinodynamic Motion Planning under Semantic Uncertainty
Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
This paper tackles the problem of integrated task and kinodynamic motion planning in uncertain environments. We consider a robot with nonlinear dynamics tasked with a Linear Tempor…
Kino-PAX: Near-Optimal Massively Parallel Kinodynamic Sampling-based Motion Planner
Nicolas Perrault, Qi Heng Ho, Morteza Lahijanian
Sampling-based motion planners (SBMPs) are widely used for robot motion planning with complex kinodynamic constraints in high-dimensional spaces, yet their serial computation desig…
Admissibility Over Winning: A New Approach to Reactive Synthesis in Robotics
Karan Muvvala, Morteza Lahijanian
Reactive synthesis is a framework for modeling and automatically synthesizing strategies in robotics, typically through computing a \emph{winning} strategy in a 2-player game betwe…
Kino-PAX: Highly Parallel Kinodynamic Sampling-based Planner
Nicolas Perrault, Qi Heng Ho, Morteza Lahijanian
Sampling-based motion planners (SBMPs) are effective for planning with complex kinodynamic constraints in high-dimensional spaces, but they still struggle to achieve real-time perf…