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On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
TLDR
We present a highly scalable anytime optimal algorithm and experimentally validate its performance using New York City taxi data and a shared vehicle fleet with passenger capacities of up to ten. Expand
Optimal Reciprocal Collision Avoidance for Multiple Non-Holonomic Robots
TLDR
In this paper an optimal method for distributed collision avoidance among multiple non-holonomic robots is presented in theory and experiments. Expand
Duckietown: An open, inexpensive and flexible platform for autonomy education and research
  • L. Paull, J. Tani, +27 authors A. Censi
  • Computer Science, Engineering
  • IEEE International Conference on Robotics and…
  • 1 May 2017
TLDR
We present “Duckietown,” an open, inexpensive and flexible platform for autonomy education and research. Expand
Reciprocal collision avoidance for multiple car-like robots
TLDR
In this paper a method for distributed reciprocal collision avoidance among multiple non-holonomic robots with bike kinematics is presented that combines velocity obstacles with generic tracking control. Expand
Real-time planning for automated multi-view drone cinematography
TLDR
We propose a method for automated aerial videography in dynamic and cluttered environments. Expand
Chance-Constrained Collision Avoidance for MAVs in Dynamic Environments
TLDR
This letter presents a probabilistic collision avoidance method for navigation among other robots and moving obstacles, such as humans. Expand
Planning and Decision-Making for Autonomous Vehicles
TLDR
We provide an overview of emerging trends and challenges in the field of intelligent and autonomous, or self-driving, vehicles. Expand
Collision avoidance for aerial vehicles in multi-agent scenarios
TLDR
This article describes an investigation of local motion planning, or collision avoidance, for a set of decision-making agents navigating in 3D space. Expand
Multi-robot system for artistic pattern formation
This paper describes work on multi-robot pattern formation. Arbitrary target patterns are represented with an optimal robot deployment, using a method that is independent of the number of robots.Expand
Real-Time Motion Planning for Aerial Videography With Real-Time With Dynamic Obstacle Avoidance and Viewpoint Optimization
TLDR
We propose a real-time receding horizon planner that autonomously records scenes with moving targets, while optimizing for visibility under occlusion and ensuring collision-free trajectories. Expand
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