Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Alyssa Pierson"'
Autor:
Alyssa Pierson, Mela Coffey
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
We apply a novel framework for decomposing and reasoning about free space in an environment to a multi-agent persistent monitoring problem. Our decomposition method represents free space as a collection of ellipsoids associated with a weighted connec
Publikováno v:
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
We address the problem of assigning a team of drones to autonomously capture a set desired shots of a dynamic target in the presence of obstacles. We present a two-stage planning pipeline that generates offline an assignment of drone to shots and loc
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Julien Bourgeois, Jamie Paik, Benoît Piranda, Justin Werfel, Sabine Hauert, Alyssa Pierson, Heiko Hamann, Tin Lun Lam, Fumitoshi Matsuno, Negar Mehr, Abdallah Makhoul
This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28–30, 2022, in Montbéliard, France. The contributions are covering a broad scope of topics withi
Publikováno v:
IROS
This paper investigates the safe path planning problem for an autonomous vehicle operating in unstructured, cluttered environments. While some objects may be accurately with canonical perception algorithms, other objects and clutter may be harder to
Publikováno v:
ICRA
This paper introduces the Weighted Buffered Voronoi tessellation, which allows us to define distributed, semicooperative multi-agent navigation policies with guarantees on collision avoidance. We generate the Voronoi cells with dynamic weights that b
Publikováno v:
ICRA
The safety of an autonomous vehicle not only depends on its own perception of the world around it, but also on the perception and recognition from other vehicles. If an ego vehicle considers the uncertainty other vehicles have about itself, then by r
Autor:
Mac Schwager, Alyssa Pierson
Publikováno v:
IEEE Transactions on Robotics. 34:517-525
We present control strategies for robotic herders to drive noncooperative herds. Our key insight enforces geometrical relationships that map the combined dynamics to simple two-dimensional or three-dimensional nonholonomic vehicle models. We prove co
Publikováno v:
IEEE Robotics and Automation Letters. 2:530-537
We propose a distributed algorithm for the cooperative pursuit of multiple evaders using multiple pursuers in a bounded convex environment. The algorithm is suitable for intercepting rogue drones in protected airspace, among other applications. The p