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Towards Autonomous Robotic Systems

Overview of attention for book
Cover of 'Towards Autonomous Robotic Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Reasoning on Grasp-Action Affordances
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    Chapter 2 Design Analysis of a Fabric Based Lightweight Robotic Gripper
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    Chapter 3 A Method to Estimate the Oblique Arch Folding Axis for Thumb Assistive Devices
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    Chapter 4 Energy-Tank Based Force Control for 3D Contour Following
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    Chapter 5 Kinematic Control and Obstacle Avoidance for Soft Inflatable Manipulator
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    Chapter 6 Learning and Composing Primitive Skills for Dual-Arm Manipulation
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    Chapter 7 DE VITO: A Dual-Arm, High Degree-of-Freedom, Lightweight, Inexpensive, Passive Upper-Limb Exoskeleton for Robot Teleoperation
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    Chapter 8 A Novel Probabilistic Projection Model for Multi-camera Object Tracking
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    Chapter 9 Soft Fiber-Reinforced Pneumatic Actuator Design and Fabrication: Towards Robust, Soft Robotic Systems
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    Chapter 10 Ultrasound Feature Evaluation for Robustness to Sensor Shift in Ultrasound Sensor Based Hand Motion Recognition
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    Chapter 11 Light Intensity-Modulated Bending Sensor Fabrication and Performance Test for Shape Sensing
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    Chapter 12 Designing Origami-Adapted Deployable Modules for Soft Continuum Arms
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    Chapter 13 A Debris Clearance Robot for Extreme Environments
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    Chapter 14 Dynamic Response Characteristics in Variable Stiffness Soft Inflatable Links
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    Chapter 15 Investigating Balance Control of a Hopping Bipedal Robot
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    Chapter 16 Continuous Motion Utilising Advanced Motions on a Hexapod
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    Chapter 17 Towards Adversarial Training for Mobile Robots
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    Chapter 18 Collaborative HRI and Machine Learning for Constructing Personalised Physical Exercise Databases
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    Chapter 19 ORB-SLAM-CNN: Lessons in Adding Semantic Map Construction to Feature-Based SLAM
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    Chapter 20 Probabilistic Planning for Robotics with ROSPlan
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    Chapter 21 Coverage Path Planning for Large-Scale Aerial Mapping
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    Chapter 22 Self-organized Collective Motion with a Simulated Real Robot Swarm
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    Chapter 23 Contact Planning for the ANYmal Quadruped Robot Using an Acyclic Reachability-Based Planner
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    Chapter 24 Multi-robot Multi-goal Motion Planning with Time and Resources
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    Chapter 25 instruMentor: An Interactive Robot for Musical Instrument Tutoring
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    Chapter 26 Position and Velocity Control for Telemanipulation with Interoperability Protocol
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    Chapter 27 Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots
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    Chapter 28 Modeling and Control of Ankle Actuation Platform for Human-Robot Interaction
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    Chapter 29 Investigating the Effects of Social Interactive Behaviours of a Robot on People’s Trust During a Navigation Task
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    Chapter 30 A Dataset for Action Recognition in the Wild
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    Chapter 31 Feel It on Your Fingers: Dataglove with Vibrotactile Feedback for Virtual Reality and Telerobotics
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    Chapter 32 Virtual Reality Simulator for Medical Auscultation Training
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    Chapter 33 Note on Geometric and Exponential Expressions of Screw Displacement
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    Chapter 34 A Modular 3D-Printed Inverted Pendulum
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    Chapter 35 A Geometric Dynamics Algorithm for Serially Linked Robots
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    Chapter 36 Full-Rotation Singularity-Safe Workspace for Kinematically Redundant Parallel Robots
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    Chapter 37 Model-Based 3D Point Cloud Segmentation for Automated Selective Broccoli Harvesting
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    Chapter 38 Mine Detonating Sphere-Bot
Attention for Chapter 27: Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

6 tweeters

Readers on

9 Mendeley
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Chapter title
Intrinsically Motivated Autonomy in Human-Robot Interaction: Human Perception of Predictive Information in Robots
Chapter number 27
Book title
Towards Autonomous Robotic Systems
Published in
arXiv, July 2019
DOI 10.1007/978-3-030-23807-0_27
Book ISBNs
978-3-03-023806-3, 978-3-03-023807-0

Marcus M. Scheunemann, Christoph Salge, Kerstin Dautenhahn

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 22%
Researcher 2 22%
Student > Master 2 22%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Engineering 3 33%
Computer Science 2 22%
Physics and Astronomy 1 11%
Psychology 1 11%
Design 1 11%
Other 0 0%
Unknown 1 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2020.
All research outputs
of 15,488,719 outputs
Outputs from arXiv
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Outputs of similar age
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Outputs of similar age from arXiv
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Altmetric has tracked 15,488,719 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 603,254 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 29,721 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.