Hitchhiking Robots: A Collaborative Approach for Efficient Multi-Robot Navigation in Indoor Environments

@article{Ravankar2017HitchhikingRA,
  title={Hitchhiking Robots: A Collaborative Approach for Efficient Multi-Robot Navigation in Indoor Environments},
  author={Abhijeet A. Ravankar and Ankit A. Ravankar and Yukinori Kobayashi and Takanori Emaru},
  journal={Sensors (Basel, Switzerland)},
  year={2017},
  volume={17}
}
Hitchhiking is a means of transportation gained by asking other people for a (free) ride. We developed a multi-robot system which is the first of its kind to incorporate hitchhiking in robotics, and discuss its advantages. Our method allows the hitchhiker robot to skip redundant computations in navigation like path planning, localization, obstacle avoidance, and map update by completely relying on the driver robot. This allows the hitchhiker robot, which performs only visual servoing, to save… 
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19 Citations
Highly Influential Citations
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Background Citations
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Methods Citations
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19 Citations

Hitchhiking Based Symbiotic Multi-Robot Navigation in Sensor Networks

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Multi-Robot Mapping and Navigation Using Topological Features

A combined metric-topological mapping approach to multi-robot SLAM, which maintains a topological pose graph with sensor information stored in nodes and edges that can be optimized globally with reduced information sharing.

Path Smoothing Techniques in Robot Navigation: State-of-the-Art, Current and Future Challenges

The aim of this paper is to succinctly summarize and review the path smoothing techniques in robot navigation and discuss the challenges and future trends.

Virtual Obstacles for Safe Mobile Robot Navigation

Experiments in real scenarios shows that the proposed method is able to alter the global paths of the robots for safe navigation, and this paper proposes a method to actively block such paths by using virtual obstacles.

HPPRM: Hybrid Potential Based Probabilistic Roadmap Algorithm for Improved Dynamic Path Planning of Mobile Robots

The proposed Hybrid Potential based Probabilistic Roadmap (HPPRM) is an improved sampling method that can avoid local minima and successfully generate plans in complex maps such as narrow passages and bug trap scenarios that are otherwise difficult for the traditional sample-based methods.

Task coordination for multiple mobile robots considering semantic and topological information

Novel techniques for multi-robot system operating in indoor office like environment using semantic mapping are presented and a mapping and navigation algorithm is discussed that uses topological and metric maps.

A Mobile Robot Tracking Controller Design and Implementation on ROS-MATLAB based Experiment System

  • Zhenning YuS. Wong
  • Computer Science
    2021 33rd Chinese Control and Decision Conference (CCDC)
  • 2021
Faced with the high-cost experiment equipment, this paper introduces a solution via lower-cost hardware that improves mobile robot tracking rate of accuracy by an adaptive controller and can help to rapid development for self-driving industry regarding cost-effectiveness.

A ROS-Matlab road condition prediction algorithm with cost-effectiveness for self-navigating mobile robots

Multiple Internet of Robotic Things robots based on LiDAR and camera sensors

An Internet of Robotic Things system structure to monitor events, fuse sensor data, use local robots to determine a best action, and then act to control multiple mobile robots is proposed.

ITC: Infused Tangential Curves for Smooth 2D and 3D Navigation of Mobile Robots †

The proposed ITC algorithm can be generated quickly and is suitable for real-world scenarios of collision avoidance in narrow corridors, and is compared with traditional interpolation based trajectory smoothing algorithms.

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