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Multi-Modal Mobility Morphobot (M4) with appendage repurposing for locomotion plasticity enhancement

Engineering and Technology

Multi-Modal Mobility Morphobot (M4) with appendage repurposing for locomotion plasticity enhancement

E. Sihite, A. Kalantari, et al.

Discover the groundbreaking Multi-Modal Mobility Morphobot (M4), a versatile robot that can adapt its appendages for flight, rolling, crawling, and more, allowing it to conquer challenging terrains. This research, conducted by Eric Sihite, Arash Kalantari, Reza Nemovi, Alireza Ramezani, and Morteza Gharib, presents innovative control techniques and impressive experimental results that push the boundaries of robotic mobility.... show more
Abstract
Robot designs can take many inspirations from nature, where there are many examples of highly resilient and fault-tolerant locomotion strategies to navigate complex terrains by recruiting multi-functional appendages. For example, birds such as Chukars and Hoatzins can repurpose wings for quadrupedal walking and wing-assisted incline running. These animals showcase impressive dexterity in employing the same appendages in different ways and generating multiple modes of locomotion, resulting in highly plastic locomotion traits which enable them to interact and navigate various environments and expand their habitat range. The robotic biomimicry of animals' appendage repurposing can yield mobile robots with unparalleled capabilities. Taking inspiration from animals, we have designed a robot capable of negotiating unstructured, multi-substrate environments, including land and air, by employing its components in different ways as wheels, thrusters, and legs. This robot is called the Multi-Modal Mobility Morphobot, or M4 in short. M4 can employ its multi-functional components composed of several actuator types to (1) fly, (2) roll, (3) crawl, (4) crouch, (5) balance, (6) tumble, (7) scout, and (8) locomanipulate. M4 can traverse steep slopes of up to 45 deg. and rough terrains with large obstacles when in balancing mode. M4 possesses onboard computers and sensors and can autonomously employ its modes to negotiate an unstructured environment. We present the design of M4 and several experiments showcasing its multi-modal capabilities.
Publisher
Nature Communications
Published On
Jun 27, 2023
Authors
Eric Sihite, Arash Kalantari, Reza Nemovi, Alireza Ramezani, Morteza Gharib
Tags
robotics
multi-modal
navigation
control
experimental results
optimization
path planning
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