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Course Title: Bio-Inspired Robotics Mohammad Iqbal (Thanks to Masoud Asadpour) Lecture: Modular robots In the name of God Most of the slides have been taken from the presentation of prof. A. Ijspeert
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Page 1: Course Title: Bio-Inspired Robotics - Gunadarmamohiqbal.staff.gunadarma.ac.id/Downloads/files/48576/09...Course Title: Bio-Inspired Robotics Mohammad Iqbal (Thanks to Masoud Asadpour)

Course Title:Bio-Inspired RoboticsMohammad Iqbal

(Thanks to Masoud Asadpour)

Lecture: Modular robots

In the name of God

Most of the slides have been taken from the presentation of prof. A. Ijspeert

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Modular/reconfigurable robotics: characteristics

Robots made of multiple unitsPossibility of (self) reconfigurationVersatility, robustness against lesionsSome similarity with multi-cellular biological systems

CONRO, USC

MTRAN, AIST

TELECUBE, Xerox PARC POLYBOT, Xerox PARC

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One example: M-TRAN (AIST)

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A bit of history: Mark Yim 1994Mark Yim developed the Polypod during his thesis at Standford, and then continued working on them at Xerox PARCPolypod has two type of modules (two dof)

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Polybot

Continuation of PolypodDeveloped at PARC

Generation I Generation II Generation III

http://www2.parc.com/spl/projects/modrobots/chain/polybot/index.html

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Crystalline robot: Dartmouth Robotics Lab

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Atron (European project Hydra)

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A bit of history: USC’s CONRO 2000

(Shen et al 2002)

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A bit of history: AIST’s MTRAN 2000

(Murata et al 2002)

One of the most advanced projects to date

Page 10: Course Title: Bio-Inspired Robotics - Gunadarmamohiqbal.staff.gunadarma.ac.id/Downloads/files/48576/09...Course Title: Bio-Inspired Robotics Mohammad Iqbal (Thanks to Masoud Asadpour)

Superbot: Next generation of CONRO at USC

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Molecube at Cornell University

This chain self-reconfiguring system was built to physically demonstrate artificial kinematic self-reproduction. Each module is a 0.65 kg cube with 100 mm long edges and one rotational degree of freedom. The axis of rotation is aligned with the cube's longest diagonal.

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Interesting aspects

ManufacturabilityRedundancyReparabilityRobustnessEase of design

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Different notions and concepts:homogeneous/heterogeneous

A modular robotics systems can be:HomogeneousHeterogeneous

Homogeneous: all modules are identical in design (not necessary in control)Heterogeneous: modules differ, some can be specialized for specific tasks/skills,…A modular robot with N different types of modules is called N-modular. (therefore homogeneous = unit-modular)

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Different notions and concepts:homogeneous/heterogeneous

Most modular robots are homogeneous.Example of a heterogeneous system: Molecule robot, Dartmouth Robotics Lab. This robotic system is 2-modular:

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Different notions and concepts:homogeneous/heterogeneous

Advantages of homogeneous: modules can easily be changed, control is generally simpler, easier/cheaper to manufacture

Advantages of heterogeneous: robots can possibly be more compact, cheaper to design (expensive actuators, sensors are only used where needed),…

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Different notions and concepts:Lattice type versus Chain type

Lattice type:Groups of modules tend to look like crystals:

Modules fill a crystal structureModules possess the spatial symmetry of the corresponding crystal structure

Self-reconfiguration with modules, moving to adjacent positions in the latticeLocomotion through self-reconfiguration, e.g. like a slow flow over the ground

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Different notions and concepts:Chain type

Group of modules tend to have animal-like structures:

They are often attached in chains (limbs) , They have multiple limbs

Self-reconfiguration via attachments and detachments of modules at end of chains Locomotion through the activation of the modules (of the limbs), e.g. like animals

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Challenges in modular robotics

EnergyMechanicsControlCommunication

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Challenges:Mechanics

Many important aspects:Type of actuators (e.g. linear, rotational),Number of actuators, Axes of rotation, translationStructure and casingType of connection mechanism

Limits on strength, precision, and field robustness (both mechanical and electrical) of bonding/docking interfaces between modulesLimits on motor power, motion precision and energetic efficiency of units, (i.e. specific power, specific torque)

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Challenges:Control

Algorithms for parallel-motion, for large scale manipulation, and locomotionAlgorithms for robustly handling a variety of failuremodes, from misalignments, dead-units (not responding, not releasing) to units that behave erratically.Algorithms that determine the optimal configuration for a given taskAlgorithms for optimal (time, energy) reconfiguration plan

Self-reconfiguring systems have more tightly coupled hardware and software than any other existing system

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Challenges:Communication

Different modes of communication: through electrical connections (e.g. a bus), wireless, through the environment (stigmergy)

Communication is important for: knowing the structure of a group of units, knowing its internal states, for coordinating locomotion and movements, for coordinating self-reconfiguration, for discovering lesions, for coordinating self-repair,…

Efficient and scalable (asynchronous) communication among multiple units


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