World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
12893
World Ranking
11882
National Ranking
753

Research.com Recognitions

  • 2001 - Fellow of the Royal Academy of Engineering (UK)

Overview

John W. Lloyd is affiliated with the University of Bristol in the United Kingdom. Their research spans multiple fields with a primary focus on engineering and neuroscience. The main academic subfields include biomedical engineering, cognitive neuroscience, control and systems engineering, artificial intelligence, and mechanical engineering.

Their research topics cover a range of specialized areas, including:

  • Tactile and Sensory Interactions
  • Robot Manipulation and Learning
  • Advanced Sensor and Energy Harvesting Materials
  • Soft Robotics and Applications
  • Reinforcement Learning in Robotics
  • Muscle Activation and Electromyography Studies
  • Modular Robots and Swarm Intelligence

John W. Lloyd's recent published papers feature various contributions to tactile robotics and learning methodologies. Selected papers include:

  • "Optimal Deep Learning for Robot Touch: Training Accurate Pose Models of 3D Surfaces and Edges," 2020, IEEE Robotics & Automation Magazine
  • "Tactile Gym 2.0: Sim-to-Real Deep Reinforcement Learning for Comparing Low-Cost High-Resolution Robot Touch," 2022, IEEE Robotics and Automation Letters
  • "Pose-Based Tactile Servoing: Controlled Soft Touch Using Deep Learning," 2021, IEEE Robotics & Automation Magazine
  • "Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard," 2020, IEEE Robotics and Automation Letters
  • "Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning," 2023, IEEE Robotics and Automation Letters

Frequent coauthors collaborating with John W. Lloyd include:

  • Nathan F. Lepora
  • Alex Church
  • Yijiong Lin
  • Dandan Zhang
  • Max Yang

Their work has been disseminated through several publication venues where they have multiple contributions:

  • IEEE Robotics and Automation Letters
  • arXiv (Cornell University)
  • IEEE Robotics & Automation Magazine
  • The International Journal of Robotics Research
  • IEEE Transactions on Automation Science and Engineering

In recognition of their professional achievements, John W. Lloyd was named Fellow of the Royal Academy of Engineering (UK) in 2001.

Best Publications

  • Foundations of logic programming

    John Wylie Lloyd

  • Partial evaluation in logic programming

    J. W. Lloyd;J. C. Shepherdson

  • The Gödel Programming Language

    Patricia Hill;J. W. Lloyd

  • Making prolog more expressive

    John W. Lloyd;Rodney W. Topor

  • Computational Logic — CL 2000

    John Lloyd;Veronica Dahl;Ulrich Furbach;Manfred Kerber

  • Analysis of meta-programs

    P. M. Hill;J. W. Lloyd

  • Kernels and Distances for Structured Data

    Thomas Gärtner;John W. Lloyd;Peter A. Flach

  • Declarative error diagnosis

    J. W. Lloyd

  • Practical Advtanages of Declarative Programming.

    John W. Lloyd

  • Integrity constraint checking in stratified databases

    J. W. Lloyd;E. A. Sonenberg;R. W. Topor

  • A Basis for Deductive Database Systems II

    Unknown

  • Updating knowledge bases

    A. Guessoum;J. W. Lloyd

  • Kernels for Structured Data

    Thomas Gärtner;John W. Lloyd;Peter A. Flach

  • Declarative Programming in Escher

    J. W. Lloyd

  • Completeness of the negation as failure rule

    Joxan Jaffar;Jean-Louis Lassez;John Lloyd

  • Programming in an Integrated Functional and Logic Language.

    John W. Lloyd

  • A Basis for Deductive Database Systems

    Unknown

  • A completeness theorem for SLDNF resolution

    L. Cavedon;J. W. Lloyd

  • From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor

    Nathan F. Lepora;Alex Church;Conrad de Kerckhove;Raia Hadsell

  • Logic for Learning

    J. W. Lloyd

  • The Go¨del programming language

    Patricia Hill;John Lloyd

  • Updating knowledge bases II

    A. Guessoum;J. W. Lloyd

Frequent Co-Authors

Raia Hadsell
Raia Hadsell DeepMind (United Kingdom)
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Peter A. Flach
Peter A. Flach University of Bristol
Marcus Hutter
Marcus Hutter DeepMind (United Kingdom)
Christophe Giraud-Carrier
Christophe Giraud-Carrier Brigham Young University
Manuel G. Catalano
Manuel G. Catalano Italian Institute of Technology

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