Adjustbot: Bio-Inspired Quadruped Robot with Adjustable Posture and Undulated Body for Challenging Terradynamic Tasks
Saurav Kumar Dutta, Yasemin Ozkan-Aydin

TL;DR
Adjustbot is a bio-inspired quadruped robot with an adjustable undulating body, enabling it to adapt its posture for challenging terrains, improving navigation, obstacle avoidance, and collision prevention.
Contribution
This work introduces a novel quadruped robot with a morphologically adaptable undulating body inspired by biological animals, enhancing terrain adaptability and navigation capabilities.
Findings
Successfully navigates complex terrains and obstacles
Demonstrates collision avoidance and narrow channel traversal
Adapts body posture for different environmental conditions
Abstract
The ability to modify morphology in response to environmental changes represents a highly advantageous feature in biological organisms, facilitating their adaptation to diverse environmental conditions. While some robots have the capability to modify their morphology by utilizing adaptive body parts, the practical implementation of morphological transformations in robotic systems is still relatively restricted. This limitation can be attributed, in part, to the intricate nature of achieving such transformations, which necessitates the integration of advanced materials, control systems, and design approaches. In nature, a range of morphology adaptation strategies is employed to achieve optimal performance and efficiency, such as those employed by crocodiles and alligators, who adjust their body posture depending on the speed and the surface they traverse on. Drawing inspiration from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModular Robots and Swarm Intelligence · Robotic Locomotion and Control · Robotic Path Planning Algorithms
