Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot
August 01, 2023 Β· Declared Dead Β· π IEEE/RJS International Conference on Intelligent RObots and Systems
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Authors
Eric Sihite, Filip Slezak, Ioannis Mandralis, Adarsh Salagame, Milad Ramezani, Arash Kalantari, Alireza Ramezani, Morteza Gharib
arXiv ID
2308.00235
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
9
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
4 months ago
Abstract
Some animals exhibit multi-modal locomotion capability to traverse a wide range of terrains and environments, such as amphibians that can swim and walk or birds that can fly and walk. This capability is extremely beneficial for expanding the animal's habitat range and they can choose the most energy efficient mode of locomotion in a given environment. The robotic biomimicry of this multi-modal locomotion capability can be very challenging but offer the same advantages. However, the expanded range of locomotion also increases the complexity of performing localization and path planning. In this work, we present our morphing multi-modal robot, which is capable of ground and aerial locomotion, and the implementation of readily available SLAM and path planning solutions to navigate a complex indoor environment.
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