Results 31 to 40 of about 3,330,548 (286)
Dynamic Movement Primitives: Volumetric Obstacle Avoidance
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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The Control Method of Autonomous Flight Avoidance Barriers of UAVs in Confined Environments
Sensors, 2023 This paper proposes an improved 3D-Vector Field Histogram (3D-VFH) algorithm for autonomous flight and local obstacle avoidance of multi-rotor unmanned aerial vehicles (UAVs) in a confined environment.
Tiantian Dong +3 more
doaj +1 more source
Neural Network Dynamics for Path Planning and Obstacle Avoidance [PDF]
Neural Networks, 1995 Abstract A model of a topologically organized neural network of a Hopfield type with nonlinear analog neurons is shown to be very effective for path planning and obstacle avoidance. This deterministic system can rapidly provide a proper path, from any arbitrary start position to any target position, avoiding both static and moving obstacles of ...
Glasius, R. +2 more
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Obstacle avoidance in a dynamic environment: a collision cone approach [PDF]
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998 A novel collision cone approach is proposed as an aid to collision detection and avoidance between irregularly shaped moving objects with unknown trajectories. It is shown that the collision cone can be effectively used to determine whether collision between a robot and an obstacle (both moving in a dynamic environment) is imminent. No restrictions are
Chakravarthy, Animesh, Ghose, Debasish
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Three-Dimensional Autonomous Obstacle Avoidance Algorithm for UAV Based on Circular Arc Trajectory
International Journal of Aerospace Engineering, 2021 This paper proposes an innovative and efficient three-dimensional (3D) autonomous obstacle algorithm for unmanned aerial vehicles (UAVs) which works by generating circular arc trajectories to avoid obstacles.
Jiandong Guo +4 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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Dynamic Planning for Obstacle Avoidance of Crawler Based on Gaussian Model
IEEE Access, 2023 In order to solve the problems of obstacle avoidance planning and trajectory optimization of unmanned platform in hilly orchards, this paper proposes a dynamic planning algorithm based on Gaussian probability model to predict dynamic obstacle behavior ...
Ying Zhao +5 more
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On-orbit assembly using superquadric potential fields [PDF]
, 2008 The autonomous on-orbit assembly of a large space structure is presented using a method based on superquadric artificial potential fields. The final configuration of the elements which form the structure is represented as the minimum of some attractive ...
Badawy, Ahmed, McInnes, Colin
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Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 There are two major challenges for scaling up robot navigation around dynamic obstacles: the complex interaction dynamics of the obstacles can be hard to model analytically, and the complexity of planning and control grows exponentially in the number of obstacles.
Hongzhan Yu +4 more
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Applied SciencesObstacle-avoidance risk threshold control and global discrete keypoint re-entry are critical factors influencing the smooth dynamic obstacle avoidance of unmanned vessels.
Qin Wang +3 more
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