Results 31 to 40 of about 105,266 (285)
Predictive motion control of a mirosot mobile robot [PDF]
, 2004 This paper discusses predictive motion control of a MiRoSoT robot. The dynamic model of the robot is deduced by taking into account the whole process - robot, vision, control and transmission systems.
Luo, Ningsu +3 more
core +1 more source
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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Navigation, localization and stabilization of formations of unmanned aerial and ground vehicles [PDF]
, 2013 A leader-follower formation driving algorithm developed for control of heterogeneous groups of unmanned micro aerial and ground vehicles stabilized under a top-view relative localization is presented in this paper. The core of the proposed method lies in
Krajnik, Tomas +4 more
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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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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
doaj +1 more source
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
doaj +1 more source
ISPRS International Journal of Geo-Information, 2021 Focusing on the collision avoidance problem for Unmanned Surface Vehicles (USVs) in the scenario of multi-vessel encounters, a USV autonomous obstacle avoidance algorithm based on the improved velocity obstacle method is proposed.
Jia Ren, Jing Zhang, Yani Cui
doaj +1 more source
Car collision avoidance with velocity obstacle approach [PDF]
, 2019 The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation.
Antonelli, Dario +3 more
core +1 more source
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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Enforcing Constraints for Dynamic Obstacle Avoidance by Compliant Robots
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 In this work a control scheme is proposed to enforce dynamic obstacle avoidance constraints to the full body of actively compliant robots. We argue that both compliance and accuracy are necessary to build safe collaborative robotic systems; obstacle avoidance is usually not enough, due to the reliance on perception systems which exhibit delays and ...
Koutras, Leonidas +5 more
openaire +1 more source