Results 11 to 20 of about 11,294 (297)
SPIE Proceedings, 1995 Techniques to allow simulated entities to avoid static terrain, such as trees, buildings, rivers, etc., have been in use in Distributed Interactive Simulation (DlS) environments for many years. Avoidance of objects in motion, “dynamic obstacles”, is much more complex.
Karr, Clark R. +2 more
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Dynamic Obstacle Avoidance and Path Planning through Reinforcement Learning
Applied Sciences, 2023 The use of reinforcement learning (RL) for dynamic obstacle avoidance (DOA) algorithms and path planning (PP) has become increasingly popular in recent years. Despite the importance of RL in this growing technological era, few studies have systematically
Khawla Almazrouei +2 more
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Dynamic Obstacle Avoidance for an Omnidirectional Mobile Robot [PDF]
Journal of Robotics, 2010 We have established a novel method of obstacle-avoidance motion planning for mobile robots in dynamic environments, wherein the obstacles are moving with general velocities and accelerations, and their motion profiles are not preknown. A hybrid system is presented in which a global deliberate approach is applied to determine the motion in the desired ...
Robert L. Williams II, Jianhua Wu
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Dynamic Movement Primitives: Volumetric Obstacle Avoidance [PDF]
2019 19th International Conference on Advanced Robotics (ICAR), 2019 Dynamic Movement Primitives (DMPs) are a framework for learning a trajectory from a demonstration. The trajectory can be learned efficiently after only one demonstration, and it is immediate to adapt it to new goal positions and time duration. Moreover, the trajectory is also robust against perturbations.
Michele Ginesi +5 more
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Two-step dynamic obstacle avoidance
Knowledge-Based SystemsDynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step architecture for handling DOA tasks by combining supervised and reinforcement learning (RL). In the first step, we introduce a data-driven approach to estimate the collision risk
Fabian Hart, Martin Waltz, Ostap Okhrin
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Evaluating Dynamic Environment Difficulty for Obstacle Avoidance Benchmarking
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic obstacle avoidance methods necessitates the establishment of a metric to quantify the environment's difficulty, a crucial aspect that remains unexplored.
Moji Shi +4 more
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An Obstacle-Avoidance Motion Planning Method for Redundant Space Robot via Reinforcement Learning
Actuators, 2023 On-orbit operation tasks require the space robot to work in an unstructured dynamic environment, where the end-effector’s trajectory and obstacle avoidance need to be guaranteed simultaneously.
Zeyuan Huang +5 more
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Applied Sciences, 2023 The increasing prevalence of intelligent driving sightseeing vehicles in the tourism industry underscores the critical importance of real-time planning for effective local obstacle avoidance paths when these vehicles encounter obstacles during operation.
Xu Yang +5 more
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A dynamical system approach to realtime obstacle avoidance [PDF]
Autonomous Robots, 2012 This paper presents a novel approach to real-time obstacle avoidance based on Dynamical Systems (DS) that ensures impenetrability of multiple convex shaped objects. The proposed method can be applied to perform obstacle avoidance in Cartesian and Joint spaces and using both autonomous and non-autonomous DS-based controllers. Obstacle avoidance proceeds
Seyed Mohammad Khansari-Zadeh +1 more
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Research on obstacle avoidance control method of multi-rotor aircraft in coal mine
Gong-kuang zidonghua, 2022 Multi-rotor aircraft has a good application prospect in coal mine production inspection because of its advantages of simple structure, hovering and multi-directional flight.
GUO Aijun +6 more
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