FOLAMI ALAMUDUN GRADUATE STUDENT INTELLIGENT SYSTEMS & ROBOTICS COMPUTER SCIENCE & ENGINEERING TEXAS A&M UNIVERSITY Biologically Inspired Robots.

Slides:



Advertisements
Similar presentations
What is Robotics? A robot is a machine that can be programmed.
Advertisements

Project Title Here IEEE UCSD Overview Robo-Magellan is a robotics competition emphasizing autonomous navigation and obstacle avoidance over varied, outdoor.
DIGbot: Complex Climbing Maneuvers in a Hexapod Robot Eric D. Diller, Luther R. Palmer, Roger D. Quinn Dept. of Mechanical & Aerospace Engineering, Case.
MICHAEL MILFORD, DAVID PRASSER, AND GORDON WYETH FOLAMI ALAMUDUN GRADUATE STUDENT COMPUTER SCIENCE & ENGINEERING TEXAS A&M UNIVERSITY RatSLAM on the Edge:
Communication Piazza – Code Angel Computers in Lab Joined late – Be sure to me to remind me!
Introduction to Robotics In the name of Allah. Introduction to Robotics o Leila Sharif o o Lecture #2: The Big.
November 17, 2009 Introduction to Cognitive Science Lecture 19: Robotics 1 Robotics environment agent ? sensors effectors Robots have physical sensors.
Robotics CSPP Artificial Intelligence March 10, 2004.
Behaviors for Compliant Robots Benjamin Stephens Christopher Atkeson We are developing models and controllers for human balance, which are evaluated on.
Chapter 4: Towards a Theory of Intelligence Gert Kootstra.
Autonomous Mobile Robots CPE 470/670 Lecture 8 Instructor: Monica Nicolescu.
Humanoid Robotics – A Social Interaction CS 575 ::: Spring 2007 Guided By Prof. Baparao By Devangi Patel reprogrammable multifunctionalmovable self - contained.
Summer 2011 Wednesday, 8/3. Biological Approaches to Understanding the Mind Connectionism is not the only approach to understanding the mind that draws.
Introduction Starting Manufacturing Types Pros cons
Intelligent Agents: an Overview. 2 Definitions Rational behavior: to achieve a goal minimizing the cost and maximizing the satisfaction. Rational agent:
Humanoids Robotics © 2015 albert-learning.com HUMANOIDS ROBOTICS.
Artificial Intelligence
Biointelligence Laboratory School of Computer Science and Engineering Seoul National University Cognitive Robots © 2014, SNU CSE Biointelligence Lab.,
PPT ON ROBOTICS AEROBOTICSINDIA.COM. ROBOTICS WHAT IS ROBOTICS THE WORD ROBOTICS IS USED TO COLLECTIVILY DEFINE A FIELD IN ENGINEERING THAT COVERS THE.
Gerhard K. Kraetzschmar The Cool Science Institute Educational Robotics A Glimpse on Robotics Tutorial Material.
Robotica Lezione 1. Robotica - Lecture 12 Objectives - I General aspects of robotics –Situated Agents –Autonomous Vehicles –Dynamical Agents Implementing.
Institute of Perception, Action and Behaviour (IPAB) Director: Prof. Sethu Vijayakumar.
Introduction to Robotics and ASU Robots Yinong Chen (Ph.D.) School of Computing, Informatics, and Decision Systems Engineering.
Chapter 14: Artificial Intelligence Invitation to Computer Science, C++ Version, Third Edition.
Motion Control Locomotion Mobile Robot Kinematics Legged Locomotion
FYP FINAL PRESENTATION CT 26 Soccer Playing Humanoid Robot (ROPE IV)
Robotica Lecture 3. 2 Robot Control Robot control is the mean by which the sensing and action of a robot are coordinated The infinitely many possible.
By Chun-Lung Lim Jay Hatcher Clay Harris. Humanoid Robotic Hardware Biped Humanoid Robot Group - Kato/Takanishi Laboratory & Waseda University WABIAN-2.
COMP 4640 Intelligent & Interactive Systems Cheryl Seals, Ph.D. Computer Science & Software Engineering Auburn University Lecture 2: Intelligent Agents.
Towards Cognitive Robotics Biointelligence Laboratory School of Computer Science and Engineering Seoul National University Christian.
Study on Genetic Network Programming (GNP) with Learning and Evolution Hirasawa laboratory, Artificial Intelligence section Information architecture field.
Whisking with Robots – From Rat Vibrissae to Biomimetic Technology for Active Touch Tony J. Prescott, Martin J. Pearson, Ben Mitchinson, J. Charles W.
SEMINAR REPORT ON K.SWATHI. INTRODUCTION Any automatically operated machine that functions in human like manner Any automatically operated machine that.
Robotica Lecture 3. 2 Robot Control Robot control is the mean by which the sensing and action of a robot are coordinated The infinitely many possible.
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. PowerPoint to accompany Krar Gill Smid Technology of Machine.
Swarm Robotics Indresh Yadav.
Terrestial Locomotion Requires a balance between (1) displacement, (2) robustness, (3) energy and (4) stability. All four are usually in opposition: Improving.
Evolving Virtual Creatures & Evolving 3D Morphology and Behavior by Competition Papers by Karl Sims Presented by Sarah Waziruddin.
1 Intelligent Autonomous Adaptive Control ( AAC) Method and AAC systems Prof. Alexander ZHDANOV Head of Adaptive control methods Department
Robotics Sharif In the name of Allah. Robotics Sharif Introduction to Robotics o Leila Sharif o o Lecture #2: The.
Self-Organization, Embodiment, and Biologically Inspired Robotics Rolf Pfeifer, Max Lungarella, Fumiya Iida Science – Nov Rakesh Gosangi PRISM lab.
Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.
Technical Seminar Presentation Presented By:- Prasanna Kumar Misra(EI ) Under the guidance of Ms. Suchilipi Nepak Presented By Prasanna.
KaaShiv InfoTech presents ROBOTICS For Inplant Training / Internship, please download the "Inplant training registration form"
INTRODUCTION TO ROBOTICS Part 1: Overview Robotics and Automation Copyright © Texas Education Agency, All rights reserved. 1.
Behavior-based Multirobot Architectures. Why Behavior Based Control for Multi-Robot Teams? Multi-Robot control naturally grew out of single robot control.
*Why Humanoid Robots?* PREPARED BY THI.PRASANNA S.PRITHIVIRAJ
EMBEDDED SYSTEM & ROBOTICS. Introduction to robotics Robots are machines capable of carrying out a complex series of actions automatically. Robotics is.
Robots.
Path Planning Based on Ant Colony Algorithm and Distributed Local Navigation for Multi-Robot Systems International Conference on Mechatronics and Automation.
Organic Evolution and Problem Solving Je-Gun Joung.
Intelligent Control Methods Lecture 2: Artificial Intelligence Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Robot Intelligence Technology Lab. 10. Complex Hardware Morphologies: Walking Machines Presented by In-Won Park
Steven Geisel.  Definitions  Google’s Robots  Boston Dynamics’ Robots  BigDog’s Technolgy  Video  New Technology  Dangers?  Questions.
Hardware and Locomotion
Mobile Robots Why do robots need to move?. What defines a robot? Sense – a robot has to take in information about its environment Plan – a robot has to.
Robot Intelligence Technology Lab. Evolutionary Robotics Chapter 3. How to Evolve Robots Chi-Ho Lee.
HAPTIC TECHNOLOGY ASHWINI P 1PE06CS017.
Autonomous Dynamically Simulated Creatures for Virtual Environments Paul Urban Supervisor: Prof. Shaun Bangay Honours Project 2001.
Basilio Bona DAUIN – Politecnico di Torino
CSE Advanced Computer Animation Short Presentation Topic: Locomotion Kang-che Lee 2009 Fall 1.
4/22/20031/28. 4/22/20031/28 Presentation Outline  Multiple Agents – An Introduction  How to build an ant robot  Self-Organization of Multiple Agents.
CSPP Artificial Intelligence March 10, 2004
CMSC Artificial Intelligence March 11, 2008
ROBOTICS.
IPAB Research Areas and Strengths
By: Zeeshan Ansari, BEng (Hons) Electronic Engineering
Humanoid Robotics – A Social Interaction
Review and Ideas for future Projects
DT-Assessment Frame Work Term2
Presentation transcript:

FOLAMI ALAMUDUN GRADUATE STUDENT INTELLIGENT SYSTEMS & ROBOTICS COMPUTER SCIENCE & ENGINEERING TEXAS A&M UNIVERSITY Biologically Inspired Robots

OUTLINE Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

OVERVIEW Scientists and Engineers have historically drawn inspiration from Nature: Archytas − self-propelled flying device. Ts’ai Lun − Papermaking process. Sir Isaac Newton − Observed gravity. George de Mestral − Velcro. Natural inspiration is the new wave of robotics

OVERVIEW Bio-inspired vs. Biomimetric In observing a living creature: Bio-inspired robotics attempts to adapt engineering designs based on observations; while Biomimetic robotics tends to replace classical engineering solutions based on the observations.

BIO-INSPIRED MORPHOLOGIES Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

BIO-INSPIRED MORPHOLOGIES Morphology in robotics is based on Functional objectives: Human-robot interaction  Human-friendly robots able to display emotions  WE-4RII project - Waseda University, Tokyo, Japan

Shape-shifting Robots: dynamically reconfigure morphology based on circumstances  CONRO robot  Polymorphic Robotics Laboratory - University of Southern California BIO-INSPIRED MORPHOLOGIES

BIO-INSPIRED SENSORS Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

BIO-INSPIRED SENSORS Bio-inspired visual sensors in robotics: Simple  Forced robot motion  Obstacle avoidance  Inter-robot communication vs. Complex  Visual systems use optic-flowmonitoring for navigation tasks in robots  Object recognition

BIO-INSPIRED SENSORS Vision Cataglyphis : Optic-flow and odometry monitoring to evaluate travel distances. Humanoid vision: Footstep planning strategies for biped humanoid to navigate on rough terrain and uneven surfaces.  A real-time vision-based sensing system and an adaptive footstep planner for Honda ASIMO.

BIO-INSPIRED SENSORS Audision Observation of hearing in animals in robots: Phonotaxis behavior in crickets  Khepera robot equipped with a cricket-like auditory system  Echolocation and object avoidance Phonotaxis behavior in bats and dolphins  Yale Sonar robot uses echolocation behavior of dolphins and bats

BIO-INSPIRED SENSORS Touch Touchbased sensors have been developed for multiple applications: Antenna for rapid maneuvering in motion planning:  Observation of cockroach use of antenna as a tactile sensor to control orientation  Sprawlette – Stanford University Whiskers for object location and recognition:  Determine surface profile of objects close to the robot.  Recognition, classification and retrieval.

BIO-INSPIRED SENSORS Above: Cockroach running along wall; Below: Sprawlette exhibits similar behavior

BIO-INSPIRED SENSORS WhiskerBOT Monash University, Australia ii Sensing iii Position Gripper v Pick up i Approach iv Grasp

BIO-INSPIRED SENSORS Touch Human skin as temperature and pressure sensors  Tactile sensors sensitive to pressure produce electrical  Also produce very high resolution visual signals*

OUTLINE Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

BIO-INSPIRED ACTUATORS Biological Systems have been observed as models for systems to perform: Locomotion:  Crawling, walking, wall-climbing, jumping, swimming and flying Grasping Drilling

BIO-INSPIRED ACTUATORS Crawling Biomimetic structures for locomotion in human body  Polychaete-like undulatory locomotion robot designed to crawl through the human gut Walking Eight, six, four and two legged robots depending on application.  BigDog quadruped robot  Runbot

BIO-INSPIRED ACTUATORS Wall-Climbing Robots designed to climb surfaces  Stickybot Swimming Biomimetic robots that emulate propulsive systems of fish, dolphins, or seals, Exploit the complex fluid mechanics for propulsion.

BIO-INSPIRED ACTUATORS Madeleine - Imitates the design of a turtle

BIO-INSPIRED ACTUATORS Flying Flapping wings offer several advantages over the fixed wings of today’s reconnaissance drones:  flying at low speeds  Hovering  making sharp turns  flying backward

BIO-INSPIRED ACTUATORS Mentor – University of Toronto

OUTLINE Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

BIO-INSPIRED CONTROL ARCHITECTURES Integrating sensors, actuators and control in the design of a simple but complete artificial animal. Behavior-Based robots Learning robots  Associative, reinforcement, or imitation learning schemes  Motivational system and action selection mechanisms Evolving robots  Using appropriate evolutionary algorithms and artificial selection processes to adapt Developing Robots  Rule based behavior derivation

OUTLINE Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

ENERGETIC AUTONOMY Bio-inspired systems aimed at reproducing the energetic autonomy of animals:  Resource descovery,  Resource acquisition or exploitation; and  Resource management

ENERGETIC AUTONOMY Chew Chew (left) 12-wheeled, train-like robot Powered through microbial fuel cell (MFC) Digests sugar using bacteria EchoBotII (right) Array of eight MFCs Digests flies using bacteria Operator fed or predatory

OUTLINE Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

COLLECTIVE ROBOTS Bio-inspired collective robotics to discover how decentralized problem solving may be implemented in a group of robots Observation of group behavior of colonial organisms such as ants have led to research in:  Collaboration within groups of robots to combine to perform a single task to accomplish a common goal  Collaboration within groups of robots to accomplish individual tasks with a common goal

COLLECTIVE ROBOTS SWARMBOT an aggregate of s-bots self-organizing and self-assembling explore, navigate, and transport heavy objects

OUTLINE Overview Bio-inspired Morphologies Bio-inspired Sensors Bio-inspired Actuators Bio-inspired Control Architectures Energetic Autonomy Collective Robotics Bio-hybrid Robots Discussion

BIO-HYBRID ROBOTS Limitations in present-day engineering capability makes it attractive to integrate the needed biological component to create a bio-hybrid robot. Physarum polycephalum  Used to control the movement of a hexapod robot  Specialized motion planning control. Rhesus monkey  Connects monkeys brain to a robotic arm.  Animal controls robotic arm through visual feedback and brain signals.

BIO-HYBRID ROBOTS BIOTELE A monkey brain controlling a robotic arm

DISCUSSION Bio-inspired solutions to robotics have proved helpful as explained in this presentation. Future robots are likely to be engineered to handle survival issues and unpredictable environments as animals do. Progress in biological knowledge and interdisciplinary collaboration is critical to progress.

QUESTIONS