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RoboHike: Autonomous Quadrupedal Robot Navigation and Hiking in Challenging Rough Terrains

Giving autonomous 4-legged robots the ability to navigate through difficult terrain, including in construction and agriculture, as well as at the scene of natural disasters.

robohike

1 January 2022

Research Team

Dimitrios Kanoulas


Technology Areas

A.I., Machine Learning and Deep Learning | Autonomous Navigation, Motion and Path Planning | Bio-inspired Robotics | Legged Robotics | Localization and Mapping | Sensor Systems | Use of Generic Robotics Technologies for Specific Applications 


Application Areas

Agriculture | Autonomous and Automation Systems | Construction | Education | Field Robotics | Search & Rescue | Animaloid Robotics

Abstract

RoboHike aims at introducing novel high-level perception and learning approaches for modeling, identifying, and mapping footholds for quadrupedal robots, to achieve fast, robust, and reliable navigation and hiking skills on challenging environments and terrains. The fellowship focuses at the next-generation autonomous robotic systems in construction, agriculture, and damaged sites, where efficient navigation is required. The vision is to endow quadrupeds with environment cognition in autonomizing manual labor of hard or dangerous tasks.