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相关论文: Shape-aware Safe Corridors Generation using Voxel …

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Free-space-oriented roadmaps typically generate a series of convex geometric primitives, which constitute the safe region for motion planning. However, a static environment is assumed for this kind of roadmap. This assumption makes it…

机器人学 · 计算机科学 2022-04-21 Junlong Guo , Zhiren Xun , Shuang Geng , Yi Lin , Chao Xu , Fei Gao

We consider the problem of planning collision-free trajectories on distance fields. Our key observation is that querying a distance field at one configuration reveals a region of safe space whose radius is given by the distance value,…

机器人学 · 计算机科学 2024-08-27 Ki Myung Brian Lee , Zhirui Dai , Cedric Le Gentil , Lan Wu , Nikolay Atanasov , Teresa Vidal-Calleja

Convex free regions provide a structured and optimization-friendly representation of collision-free space for robot navigation in unknown and cluttered environments. However, existing methods typically enlarge local collision-free regions…

机器人学 · 计算机科学 2026-04-28 Zhicheng Song , Yongjian Li , Kai Chen , Yulin Li , Fan Shi , Jun Ma

We propose an online iterative algorithm to optimize a convex cover to under-approximate the free space for autonomous navigation to delineate Safe Flight Corridors (SFC). The convex cover consists of a set of polytopes such that the union…

机器人学 · 计算机科学 2025-03-28 Yuwei Wu , Igor Spasojevic , Pratik Chaudhari , Vijay Kumar

Automated Guided Vehicles (AGVs) are essential in various industries for their efficiency and adaptability. However, planning trajectories for AGVs in obstacle-dense, unstructured environments presents significant challenges due to the…

机器人学 · 计算机科学 2024-03-13 Shaoqiang Liang , Songyuan Fa , Yiqun Li

In this paper, we propose a new method for multirotor planning in dynamic environments. The environment is represented as a temporal occupancy grid which gives the current as well as the future/predicted state of all the obstacles. The…

机器人学 · 计算机科学 2022-08-17 Charbel Toumieh , Alain Lambert

Motion planning is one of the key modules in autonomous driving systems to generate trajectories for self-driving vehicles to follow. A common motion planning approach is to generate trajectories within semantic safe corridors. The…

机器人学 · 计算机科学 2022-04-13 Weize Zhang , Peyman Yadmellat , Zhiwei Gao

Voxel grids are a minimal and efficient environment representation that is used for robot motion planning in numerous tasks. Many state-of-the-art planning algorithms use voxel grids composed of free, occupied and unknown voxels. In this…

机器人学 · 计算机科学 2022-08-17 Charbel Toumieh , Alain Lambert

In this paper, we introduce a new probabilistically safe local steering primitive for sampling-based motion planning in complex high-dimensional configuration spaces. Our local steering procedure is based on a new notion of a convex…

机器人学 · 计算机科学 2019-01-03 Jinwook Huh , Omur Arslan , Daniel D. Lee

In this paper, we present an online motion planning algorithm (3D-OGSE) for generating smooth, collision-free trajectories over multiple planning iterations for 3-D agents operating in an unknown obstacle-cluttered 3-D environment. Our…

机器人学 · 计算机科学 2021-05-12 Vrushabh Zinage , Senthil Hariharan Arul , Dinesh Manocha , Satadal Ghosh

We advertise the use of tetrahedral grids constructed via the longest edge bisection algorithm for rendering volumetric data with path tracing. The key benefits of such grids is two-fold. First, they provide a highly adaptive…

图形学 · 计算机科学 2025-06-16 Anis Benyoub , Jonathan Dupuy

Safe autonomy is a critical requirement and a key enabler for robots to operate safely in unstructured complex environments. Control barrier functions and safe motion corridors are two widely used but technically distinct safety methods,…

机器人学 · 计算机科学 2026-03-09 Ömür Arslan , Nikolay Atanasov

We present a fast algorithm for the design of smooth paths (or trajectories) that are constrained to lie in a collection of axis-aligned boxes. We consider the case where the number of these safe boxes is large, and basic preprocessing of…

机器人学 · 计算机科学 2024-01-04 Tobia Marcucci , Parth Nobel , Russ Tedrake , Stephen Boyd

This paper presents a method to compute differentiable collision-free parametric corridors. In contrast to existing solutions that decompose the obstacle-free space into multiple convex sets, the continuous corridors computed by our method…

机器人学 · 计算机科学 2024-07-18 Jon Arrizabalaga , Zachary Manchester , Markus Ryll

We present Deformable Voxel Grids (DVGs) for 3D shapes comparison and processing. It consists of a voxel grid which is deformed to approximate the silhouette of a shape, via energy-minimization. By interpreting the DVG as a local…

计算机视觉与模式识别 · 计算机科学 2022-11-22 Raphaël Groscot , Laurent D. Cohen

Planning collision free trajectories in complex environments remains a core challenge in robotics. Existing corridor based planners which rely on decomposition of the free space into collision free subsets scale poorly with environmental…

机器人学 · 计算机科学 2025-09-25 Akshay Jaitly , Jon Arrizabalaga , Guanrui Li

Real-world environments are inherently uncertain, and to operate safely in these environments robots must be able to plan around this uncertainty. In the context of motion planning, we desire systems that can maintain an acceptable level of…

机器人学 · 计算机科学 2020-03-18 Charles Dawson , Ashkan Jasour , Andreas Hofmann , Brian Williams

Trajectory planning is crucial for the safe driving of autonomous vehicles in highway traffic flow. Currently, some advanced trajectory planning methods utilize spatio-temporal voxels to construct feasible regions and then convert…

机器人学 · 计算机科学 2023-10-05 Zhiqiang Jian , Songyi Zhang , Lingfeng Sun , Wei Zhan , Masayoshi Tomizuka , Nanning Zheng

Trajectory generation in dynamic environments presents a significant challenge for quadrotors, particularly due to the non-convexity in the spatial-temporal domain. Many existing methods either assume simplified static environments or…

机器人学 · 计算机科学 2025-03-19 Songhao Huang , Yuwei Wu , Yuezhan Tao , Vijay Kumar

To generate safe and real-time trajectories for an autonomous vehicle in dynamic environments, path and speed decoupled planning methods are often considered. This paper studies speed planning, which mainly deals with dynamic obstacle…

机器人学 · 计算机科学 2021-04-26 Jialun Li , Xiaojia Xie , Hengbo Ma , Xiao Liu , Jianping He
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