Motion planning ≈ Motion planning
View article: A survey of deep learning techniques for autonomous driving
A survey of deep learning techniques for autonomous driving Open
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence (AI). The objective of this paper is to survey the current stat…
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A Review of Motion Planning for Highway Autonomous Driving Open
Self-driving vehicles will soon be a reality, as main automotive companies have announced that they will sell their driving automation modes in the 2020s. This technology raises relevant controversies, especially with recent deadly acciden…
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Survey on Coverage Path Planning with Unmanned Aerial Vehicles Open
Coverage path planning consists of finding the route which covers every point of a certain area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in several application domains involving terrain coverage, suc…
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Path planning techniques for mobile robots: Review and prospect Open
Mobile robot path planning refers to the design of the safely collision-free path with shortest distance and least time-consuming from the starting point to the end point by a mobile robot autonomously. In this paper, a systematic review o…
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Swarm of micro flying robots in the wild Open
Aerial robots are widely deployed, but highly cluttered environments such as dense forests remain inaccessible to drones and even more so to swarms of drones. In these scenarios, previously unknown surroundings and narrow corridors combine…
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Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning Open
In this study, an improved crossover operator is suggested, for solving path planning problems using genetic algorithms (GA) in static environment. GA has been widely applied in path optimization problem which consists in finding a valid a…
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Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization Open
We present a single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds, swing-leg motions, and six-dimensional body motion over nonflat terrain, without any ad…
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A Review on Autonomous Vehicles: Progress, Methods and Challenges Open
Vehicular technology has recently gained increasing popularity, and autonomous driving is a hot topic. To achieve safe and reliable intelligent transportation systems, accurate positioning technologies need to be built to factor in the dif…
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From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots Open
Learning from demonstration for motion planning is an ongoing research topic.\nIn this paper we present a model that is able to learn the complex mapping from\nraw 2D-laser range findings and a target position to the required steering\ncom…
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Path Planning for the Mobile Robot: A Review Open
Good path planning technology of mobile robot can not only save a lot of time, but also reduce the wear and capital investment of mobile robot. Several methodologies have been proposed and reported in the literature for the path planning o…
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A survey on vision-based UAV navigation Open
Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past decades, and UAVs have been widely used in industrial inspection, remote sensing for mapping & surveying, rescuing, and so on. Nevertheless, the limited a…
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Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment Open
This research introduces a path planning method based on the geometric A-star algorithm. The whole approach is applied to an Automated Guided Vehicle (AGV) in order to avoid the problems of many nodes, long-distance and large turning angle…
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CommonRoad: Composable benchmarks for motion planning on roads Open
Numerical experiments for motion planning of road vehicles require numerous components: vehicle dynamics, a road network, static obstacles, dynamic obstacles and their movement over time, goal regions, a cost function, etc. Providing a des…
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A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges Open
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ Unmanned Aerial Vehicles (UAVs/drones). The success of most UAV-based IoT applications is heavily dependent on artificial intelligen…
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Path Planning for Autonomous Mobile Robots: A Review Open
Providing mobile robots with autonomous capabilities is advantageous. It allows one to dispense with the intervention of human operators, which may prove beneficial in economic and safety terms. Autonomy requires, in most cases, the use of…
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A Survey of Path Planning Algorithms for Mobile Robots Open
Path planning algorithms are used by mobile robots, unmanned aerial vehicles, and autonomous cars in order to identify safe, efficient, collision-free, and least-cost travel paths from an origin to a destination. Choosing an appropriate pa…
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Survey of Robot 3D Path Planning Algorithms Open
Robot 3D (three-dimension) path planning targets for finding an optimal and collision-free path in a 3D workspace while taking into account kinematic constraints (including geometric, physical, and temporal constraints). The purpose of pat…
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Optimal Path Planning using RRT* based Approaches: A Survey and Future Directions Open
Optimal path planning refers to find the collision free, shortest, and smooth route between start and goal positions. This task is essential in many robotic applications such as autonomous car, surveillance operations, agricultural robots,…
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Joint Optimization of Multi-UAV Target Assignment and Path Planning Based on Multi-Agent Reinforcement Learning Open
One of the major research topics in unmanned aerial vehicle (UAV) collaborative control systems is the problem of multi-UAV target assignment and path planning (MUTAPP). It is a complicated optimization problem in which target assignment a…
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Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges Open
Robot navigation is an indispensable component of any mobile service robot. Many path planning algorithms generate a path which has many sharp or angular turns. Such paths are not fit for mobile robot as it has to slow down at these sharp …
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Collision Avoidance for Cooperative UAVs With Optimized Artificial Potential Field Algorithm Open
Unmanned aerial vehicle (UAV) systems are one of the most rapidly developing, highest level and most practical applied unmanned aerial systems. Collision avoidance and trajectory planning are the core areas of any UAV system. However, ther…
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An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments Open
The ability to plan informative paths online is essential to robot autonomy. In particular, sampling-based approaches are often used as they are capable of using arbitrary information gain formulations. However, they are prone to local min…
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Multi-robot formation control and object transport in dynamic environments via constrained optimization Open
We present a constrained optimization method for multi-robot formation control in dynamic environments, where the robots adjust the parameters of the formation, such as size and three-dimensional orientation, to avoid collisions with stati…
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Collision Detection and Avoidance in Computer Controlled Manipulators Open
This dissertation tackles the problem of planning safe trajectories for computer controlled manipulators with two links and multiple degrees of freedom. There are two ways to look at safe trajectory planning. The first concerns itself with…
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A Comprehensive Review of Coverage Path Planning in Robotics Using Classical and Heuristic Algorithms Open
The small battery capacities of the mobile robot and the un-optimized planning efficiency of the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in terms of speed and accuracy, putting a great cons…
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Path Planning Strategies to Optimize Accuracy, Quality, Build Time and Material Use in Additive Manufacturing: A Review Open
Additive manufacturing (AM) is the process of joining materials layer by layer to fabricate products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex geometries, integrated assemblies, customized geometry or m…
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Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning Open
We consider the problem of sequential manipulation and tool-use planning in domains that include physical interactions such as hitting and throwing.The approach integrates a Task And Motion Planning formulation with primitives that either …
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Multi‐robot path planning based on a deep reinforcement learning DQN algorithm Open
The unmanned warehouse dispatching system of the ‘goods to people’ model uses a structure mainly based on a handling robot, which saves considerable manpower and improves the efficiency of the warehouse picking operation. However, the opti…
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Time-efficient A* Algorithm for Robot Path Planning Open
The current era is mainly focused on the modernization, industrialization, automation and development. For which, the human task are replaced by robots to achieve good accuracy, high efficiency, speed and multiplicity. In industries, these…
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Energy Efficient UAV Communication With Energy Harvesting Open
This paper investigates an unmanned aerial vehicle (UAV)-enabled wireless communication system with energy harvesting, where the UAV transfers energy to the users in half duplex or full duplex, and the users harvest energy for data transmi…