View Chapter

Chapter 46 — Simultaneous Localization and Mapping

Cyrill Stachniss, John J. Leonard and Sebastian Thrun

This chapter provides a comprehensive introduction in to the simultaneous localization and mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the main perception problem of a robot navigating an unknown environment. While navigating the environment, the robot seeks to acquire a map thereof, and at the same time it wishes to localize itself using its map. The use of SLAM problems can be motivated in two different ways: one might be interested in detailed environment models, or one might seek to maintain an accurate sense of a mobile robot’s location. SLAM serves both of these purposes.

We review the three major paradigms from which many published methods for SLAM are derived: (1) the extended Kalman filter (EKF); (2) particle filtering; and (3) graph optimization. We also review recent work in three-dimensional (3-D) SLAM using visual and red green blue distance-sensors (RGB-D), and close with a discussion of open research problems in robotic mapping.

DTAM: Dense tracking and mapping in real-time

Author  Richard Newcombe

Video ID : 452

This video shows DTAM: Dense tracking and mapping in real-time, a system for real-time, fully-dense visual tracking and reconstruction, described in Chap. 46.4, Springer Handbook of Robotics, 2nd edn (2016). Reference: R.A. Newcombe, S.J. Lovegrove, A.J. Davison: DTAM: Dense tracking and mapping in real-time. Int. Conf. Computer Vision (ICCV),, Barcelona (2011), pp. 2320–2327

Chapter 17 — Limbed Systems

Shuuji Kajita and Christian Ott

A limbed system is a mobile robot with a body, legs and arms. First, its general design process is discussed in Sect. 17.1. Then we consider issues of conceptual design and observe designs of various existing robots in Sect. 17.2. As an example in detail, the design of a humanoid robot HRP-4C is shown in Sect. 17.3. To design a limbed system of good performance, it is important to take into account of actuation and control, like gravity compensation, limit cycle dynamics, template models, and backdrivable actuation. These are discussed in Sect. 17.4.

In Sect. 17.5, we overview divergence of limbed systems. We see odd legged walkers, leg–wheel hybrid robots, leg–arm hybrid robots, tethered walking robots, and wall-climbing robots. To compare limbed systems of different configurations,we can use performance indices such as the gait sensitivity norm, the Froude number, and the specific resistance, etc., which are introduced in Sect. 17.6.

Bipedal humanoid robot: WABIAN

Author  Atsuo Takanishi

Video ID : 522

A human-sized bipedal humanoid robot developed by Prof. Hashimoto, Dr. Narita, Dr. Kobayashi, Prof. Takanishi, Dr. Yamaguchi, Prof. Dario, and Dr. Takanobu.

Chapter 23 — Biomimetic Robots

Kyu-Jin Cho and Robert Wood

Biomimetic robot designs attempt to translate biological principles into engineered systems, replacing more classical engineering solutions in order to achieve a function observed in the natural system. This chapter will focus on mechanism design for bio-inspired robots that replicate key principles from nature with novel engineering solutions. The challenges of biomimetic design include developing a deep understanding of the relevant natural system and translating this understanding into engineering design rules. This often entails the development of novel fabrication and actuation to realize the biomimetic design.

This chapter consists of four sections. In Sect. 23.1, we will define what biomimetic design entails, and contrast biomimetic robots with bio-inspired robots. In Sect. 23.2, we will discuss the fundamental components for developing a biomimetic robot. In Sect. 23.3, we will review detailed biomimetic designs that have been developed for canonical robot locomotion behaviors including flapping-wing flight, jumping, crawling, wall climbing, and swimming. In Sect. 23.4, we will discuss the enabling technologies for these biomimetic designs including material and fabrication.

Avian-inspired perching mechanism with UAV

Author  Courtney E. Doyle, Justin J. Bird, Taylor A. Isom, Jason C. Kallman, Daman F. Bareiss, David J. Dunlop, Raymond J. King, Jake J. Abbott, Mark A. Minor

Video ID : 415

This completely passive mechanism enables a quadrotor to perch using only the weight of the quadrotor to grip the perch. The method is inspired by a tendon that allows birds to sleep while perching. More details can be found in the paper C. Doyle, J. Bird, T. Isom, C. Johnson, J. Kallman, J. Simpson, R. King, J. Abbott, M. Minor: Avian-inspired passive perching mechanism for robotic rotorcraft, Proc. IEEE Conf. Intell. Robot. Syst. (IROS), San Francisco (2011), pp. 4975-4980; https://faculty.utah.edu/u0240615-Mark_A_Minor/bibliography/index.hml

Chapter 44 — Networked Robots

Dezhen Song, Ken Goldberg and Nak-Young Chong

As of 2013, almost all robots have access to computer networks that offer extensive computing, memory, and other resources that can dramatically improve performance. The underlying enabling framework is the focus of this chapter: networked robots. Networked robots trace their origin to telerobots or remotely controlled robots. Telerobots are widely used to explore undersea terrains and outer space, to defuse bombs and to clean up hazardous waste. Until 1994, telerobots were accessible only to trained and trusted experts through dedicated communication channels. This chapter will describe relevant network technology, the history of networked robots as it evolves from teleoperation to cloud robotics, properties of networked robots, how to build a networked robot, example systems. Later in the chapter, we focus on the recent progress on cloud robotics, and topics for future research.

Tele-actor

Author  Ken Goldberg, Dezhen Song

Video ID : 83

We describe a networked teleoperation system that enables groups of participants to collaboratively explore real-time remote environments. Participants collaborate using a spatial dynamic voting (SDV) interface which enables them to vote on a sequence of images via a network such as the internet. The SDV interface runs on each client computer and communicates with a central server which collects, displays, and analyzes time sequences of spatial votes. The results are conveyed to the “tele-actor,” a skilled human with cameras and microphones who navigates and performs actions in the remote environment.

Chapter 64 — Rehabilitation and Health Care Robotics

H.F. Machiel Van der Loos, David J. Reinkensmeyer and Eugenio Guglielmelli

The field of rehabilitation robotics considers robotic systems that 1) provide therapy for persons seeking to recover their physical, social, communication, or cognitive function, and/or that 2) assist persons who have a chronic disability to accomplish activities of daily living. This chapter will discuss these two main domains and provide descriptions of the major achievements of the field over its short history and chart out the challenges to come. Specifically, after providing background information on demographics (Sect. 64.1.2) and history (Sect. 64.1.3) of the field, Sect. 64.2 describes physical therapy and exercise training robots, and Sect. 64.3 describes robotic aids for people with disabilities. Section 64.4 then presents recent advances in smart prostheses and orthoses that are related to rehabilitation robotics. Finally, Sect. 64.5 provides an overview of recent work in diagnosis and monitoring for rehabilitation as well as other health-care issues. The reader is referred to Chap. 73 for cognitive rehabilitation robotics and to Chap. 65 for robotic smart home technologies, which are often considered assistive technologies for persons with disabilities. At the conclusion of the present chapter, the reader will be familiar with the history of rehabilitation robotics and its primary accomplishments, and will understand the challenges the field may face in the future as it seeks to improve health care and the well being of persons with disabilities.

The Arm Guide

Author  Lennie Kahn

Video ID : 494

The Arm Guide was an early rehabilitation therapy robot used to study the role of active assistance in robotic therapy after stroke, which was developed at the Rehabilitation Institute of Chicago and the University of California at Irvine. It was a singly-actuated, trombone-like device which could be oriented in different directions. It was used to sense patient's arm movement along a linear bearing and then assisted in completing movements with a motor attached to a timing belt along the bearing. It also measured off-axis forces generated against the linear bearing, using a 6-axis force-torque cell in order to quantify abnormal synergies.

Chapter 18 — Parallel Mechanisms

Jean-Pierre Merlet, Clément Gosselin and Tian Huang

This chapter presents an introduction to the kinematics and dynamics of parallel mechanisms, also referred to as parallel robots. As opposed to classical serial manipulators, the kinematic architecture of parallel robots includes closed-loop kinematic chains. As a consequence, their analysis differs considerably from that of their serial counterparts. This chapter aims at presenting the fundamental formulations and techniques used in their analysis.

6-DOF cable-suspended robot

Author  Clément Gosselin

Video ID : 44

This video demonstrates a 6-DOF cable-suspended robot acting in a large workspace to scan artefacts. References: 1. C. Gosselin, S. Bouchard: A gravity-powered mechanism for extending the workspace of a cable-driven parallel mechanism: Application to the appearance modeling of objects, Int. J. Autom. Technol. 4(4), 372-379 (2010); 2. J.D. Deschênes, P. Lambert, S. Perreault, N. Martel-Brisson, N. Zoso, A. Zaccarin, P. Hébert, S. Bouchard, C. Gosselin: A cable-driven parallel mechanism for capturing object appearance from multiple viewpoints, Proc. 6th Int. Conf. 3-D Digital Imaging and Modeling, Montréal (2007)

Chapter 76 — Evolutionary Robotics

Stefano Nolfi, Josh Bongard, Phil Husbands and Dario Floreano

Evolutionary Robotics is a method for automatically generating artificial brains and morphologies of autonomous robots. This approach is useful both for investigating the design space of robotic applications and for testing scientific hypotheses of biological mechanisms and processes. In this chapter we provide an overview of methods and results of Evolutionary Robotics with robots of different shapes, dimensions, and operation features. We consider both simulated and physical robots with special consideration to the transfer between the two worlds.

Evolved homing walk on rough ground

Author  Phil Husbands

Video ID : 373

Evolved, simulated hexapod walks over rough terrain while homing on a beacon. This behavior was incrementally evolved with the controlling neural-network architecture which was expanding at each stage. Work done at Sussex University by Eric Vaughan.

Chapter 43 — Telerobotics

Günter Niemeyer, Carsten Preusche, Stefano Stramigioli and Dongjun Lee

In this chapter we present an overview of the field of telerobotics with a focus on control aspects. To acknowledge some of the earliest contributions and motivations the field has provided to robotics in general, we begin with a brief historical perspective and discuss some of the challenging applications. Then, after introducing and classifying the various system architectures and control strategies, we emphasize bilateral control and force feedback. This particular area has seen intense research work in the pursuit of telepresence. We also examine some of the emerging efforts, extending telerobotic concepts to unconventional systems and applications. Finally,we suggest some further reading for a closer engagement with the field.

Semi-autonomous teleoperation of multiple UAVs: Tumbling over an obstacle

Author  Antonio Franchi, Paolo Robuffo Giordano

Video ID : 72

This video shows the bilateral teleoperation of a group of four quadrotor UAVs navigating in a cluttered environment. The human operator provides velocity-level motion commands and receives force-feedback information on the UAV interaction with the environment (e.g., presence of obstacles and external disturbances).

Chapter 56 — Robotics in Agriculture and Forestry

Marcel Bergerman, John Billingsley, John Reid and Eldert van Henten

Robotics for agriculture and forestry (A&F) represents the ultimate application of one of our society’s latest and most advanced innovations to its most ancient and important industries. Over the course of history, mechanization and automation increased crop output several orders of magnitude, enabling a geometric growth in population and an increase in quality of life across the globe. Rapid population growth and rising incomes in developing countries, however, require ever larger amounts of A&F output. This chapter addresses robotics for A&F in the form of case studies where robotics is being successfully applied to solve well-identified problems. With respect to plant crops, the focus is on the in-field or in-farm tasks necessary to guarantee a quality crop and, generally speaking, end at harvest time. In the livestock domain, the focus is on breeding and nurturing, exploiting, harvesting, and slaughtering and processing. The chapter is organized in four main sections. The first one explains the scope, in particular, what aspects of robotics for A&F are dealt with in the chapter. The second one discusses the challenges and opportunities associated with the application of robotics to A&F. The third section is the core of the chapter, presenting twenty case studies that showcase (mostly) mature applications of robotics in various agricultural and forestry domains. The case studies are not meant to be comprehensive but instead to give the reader a general overview of how robotics has been applied to A&F in the last 10 years. The fourth section concludes the chapter with a discussion on specific improvements to current technology and paths to commercialization.

An autonomous robot for de-leafing cucumber plants

Author  Elder J. van Henten, Bart A.J. van Tuijl, G. J. Hoogakker, M.J. van der Weerd, Jochen Hemming, J.G. Kornet, Jan Bontsema

Video ID : 309

In cucumber production, amongst other crops, removal of old non-productive leaves in the lower regions of the plant is a time consuming task. Based on the platform of the autonomous cucumber harvester at Wageningen University and Research Centre, Wageningen, The Netherlands, a robot for de-leafing cucumber plants was developed. The platform's camera system identifies and locates the main stems of the plants. The gripper is sent to the plant and moved upwards. Leaves encountered during this upward motion are separated from the plant using a thermal cutting device which prevents transmission of viruses from plant to plant. An interesting feature of this machine is that, with slight modifications of software and hardware, two greenhouse operations can be performed.

Chapter 36 — Motion for Manipulation Tasks

James Kuffner and Jing Xiao

This chapter serves as an introduction to Part D by giving an overview of motion generation and control strategies in the context of robotic manipulation tasks. Automatic control ranging from the abstract, high-level task specification down to fine-grained feedback at the task interface are considered. Some of the important issues include modeling of the interfaces between the robot and the environment at the different time scales of motion and incorporating sensing and feedback. Manipulation planning is introduced as an extension to the basic motion planning problem, which can be modeled as a hybrid system of continuous configuration spaces arising from the act of grasping and moving parts in the environment. The important example of assembly motion is discussed through the analysis of contact states and compliant motion control. Finally, methods aimed at integrating global planning with state feedback control are summarized.

Whole quadruped manipulation

Author  Toru Omata et al.

Video ID : 366

The video shows a quadruped robot that can use two of its legs for whole-body manipulation of objects. The robot can stand on the knee joints of its hind legs, grasp an object with the two front legs, and adjust its center of mass by rotating the hind knee joints to manipulate it. This enables the robot to place an object on its stomach/back and use the hind legs again for walking so that the object can be moved around in the environment.