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This paper presents an approach of human-vehicle cooperative navigation system as an implementation of Advanced Driving Assistance Systems (ADAS). The driver-in-the-loop system contains commands by a human driver, which are verified and corrected by the interactive navigation algorithm based on Image-based Dynamic Window Approach (IDWA). Several autonomous driving components are involved including...
In this work, we consider the labeled multi-robot planning problem. In this paradigm, a team of robots at fixed start positions must navigate to pre-specified and noninterchangable goal positions. While many algorithms have been proposed for finding optimal solutions to this problem, most methods assume that the robots are kinematic agents, whereas in reality, robots often have high-order dynamics...
This paper describes a trajectory planning algorithm for mobile robot navigation in crowded environments; the aim is to solve the problem of planning a valid path through moving people.
In our previous work [1] we introduced the Anticipative Kinodynamic Planning (AKP): a robot navigation algorithm in dynamic urban environments that seeks to minimize its disruption to nearby pedestrians. In the present paper, we maintain all the advantages of the AKP, and we overcome the previous limitations by presenting novel contributions to our approach. Firstly, we present a multi-objective cost...
In this paper we derive and implement an algorithm for an indoor mobile robotics platform to estimate the manipulability of initially unknown obstacles while navigating through its environment to a pre-specified goal. The environment is represented by an evidence grid, where each cell contains a gamma-distributed cost as well as visual feature data in the form of a color histogram. While navigating,...
In this work an approach to generate collisions-free trajectories for vessels is presented. The approach consist of a global path planner and a local evasive trajectory planner. The global path planner uses chart information from ENCs to estimate waypoints for a global path avoiding obstacles defined in a chart. The local evasive trajectory planner uses information of a target tracking system to proof...
Because the impact of ocean current on Autonomous Underwater Vehicle (AUV) navigation is greater than the impact of wind on ground mobile robot, there is the essential difference between underwater environment and ground environment. Ocean current and obstacles must be considered for AUV path planning in underwater environment. In this paper, a novel kind of AUV path planning algorithm is proposed...
An important goal in navigation of low cost robots is low memory usage. In this paper, we propose a novel navigation algorithm (NafisNav) suitable for embedded systems with low resources, mainly memory. The proposed path finding algorithm is designed and implemented in grid maps. Unlike existing algorithms, that mainly focus on obtaining the shortest possible path for navigation, the proposed algorithm...
Most multi-robot task allocation algorithms are concerned with the allocation of individual tasks to single robots. However certain types of tasks require a team of robots for their execution, and for the allocation of such tasks non-conflicting robot teams have to be formed. Most of the existing allocation algorithms for such tasks mainly address the robot-team formation and the tasks are allocated...
We present a reactive navigation algorithm which ensures the safety of the hospital beds in the dynamic environments. The proposed navigation algorithm allows the hospital beds to avoid en-route obstacles with an efficient easy-to-compute sliding mode obstacle avoidance strategy when an obstacle is nearby, and move towards the target location at maximum speed when there is no threat of collision....
Path Planning stands in basic positions in robotics, game AI and navigation. Previous solutions generally focused on decompose the environment into grid-like map, which is large in proportion to the size and complexity of the environment, and thus the efficiency of graph construction, update and path-finding suffers. We proposed a waypoint generation method to discretize the environment into a waypoint...
This paper proposes a differential flatness-based method for maneuvering a quadrotor so that its position follows a specified velocity vector field. Existing planning and control algorithms often give a 2D or 3D velocity vector field to be followed by a robot. However, quadrotors have complex nonlinear dynamics that make vector field following difficult, especially in aggressive maneuvering regimes...
In this paper, we propose a novel Gaussian process motion controller that can navigate through a crowded dynamic environment. The proposed motion controller predicts future trajectories of pedestrians using an autoregressive Gaussian process motion model (AR-GPMM) from the partially-observable egocentric view of a robot and controls a robot using an autoregressive Gaussian process motion controller...
Service robots have a great potential of improving human quality of life by aiding in everyday tasks. However, robots that share an environment and interact with humans still face some challenges that limits their acceptance. One of these challenges is how to move and behave among groups of people, which is a task performed seamlessly by humans and some animals.
In the recent decades an impressive progress was done in automation and robotic fields. Projects such as Google driverless car with “sense and avoid” capabilities or intelligent Unmanned Air Vehicle (UAV) are examples of interesting research works targeting a high degree of autonomy. In this context we underline the unavoidable requirement for improving path planning algo-rithms. Indeed, path planning...
While collision-free navigation could be done using existing rule-based approaches, it becomes more attractive to use learning from demonstration (LfD) approaches to ease the burden of tedious rule designing and parameter tuning procedures. In addition, in the freezing robot problem, once the environment surpasses a certain level of complexity, there may be no sufficient space for a robot to navigate...
We present a sampling-based motion planner that improves the performance of the probabilistically optimal RRT* planning algorithm. Experiments demonstrate that our planner finds a fast initial path and decreases the cost of this path iteratively. We identify and address the limitations of RRT* in high-dimensional configuration spaces. We introduce a sampling bias to facilitate and accelerate cost...
We address the problem of developing feedback controllers for a group of robots with second-order dynamics in an obstacle-filled, D-dimensional environment. Our control algorithm takes into account communication constraints, obstacle avoidance, and inter-robot collision avoidance, by synthesizing a piecewise smooth vector field for safe navigation. First, the feasible free joint configuration space...
Research in robot navigation usually concentrates on implementing navigation algorithms that allow the robot to navigate without human aid. In many real world situations, it is desirable that the robot is able to understand natural gestures from its user or partner and use this understanding to guide its navigation. Some algorithms already exist for learning natural gestures and/or their associated...
This paper presents a trajectory planning algorithm for a robot operating in dynamic human environments. Environments such as pedestrian streets, hospital corridors, train stations or airports. We formulate the problem as planning a minimal cost trajectory through a potential field, defined from the perceived position and motion of persons in the environment. A Rapidly-exploring Random Tree (RRT)...
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