School of Electronic Engineering and Computer Science

Dr Lorenzo Jamone

Lorenzo

Lecturer in Robotics

Email: l.jamone@qmul.ac.uk
Telephone: +44 20 7882 7825
Room Number: Peter Landin, CS 407
Website: http://lorejam.blogspot.co.uk/

Teaching

Advanced Robotics Systems (Robotics III) (Undergraduate)

The module will build on previous knowledge acquired in the previous years on the programme and also introduce new and advanced concept related to geometric, kinematic, and dynamic robots manipulation, vision and machine learning specifically for Robotics, motion control and practical implementation of locomotion solutions, mechanical considerations of medical robots and the necessity of understanding acceptance and ethical values, etc. It will introduce the practicality of applying multidisciplinary techniques in enhancing the current state of the art in Robotics Engineering and allow the students to explore creative and engineered solutions that are outside the box along side conventional industrial and cognitive applications.

Advanced Robotics Systems (Robotics III) (Postgraduate)

The module will introduce both basic and advanced concepts related to geometric, kinematic, and dynamic robots manipulation, vision and machine learning specifically for Robotics, motion control and practical implementation of locomotion solutions, mechanical considerations of medical robots and the necessity of understanding acceptance and ethical values, etc. It will introduce the practicality of applying multidisciplinary techniques in enhancing the current state of the art in Robotics and allow the students to explore creative and engineered solutions that are outside the box along side conventional industrial and cognitive applications.

Cognitive Robotics (Postgraduate)

This module addresses the emerging field of autonomous systems possessing artificial reasoning skills and also environment and context awareness. The module will introduce students to advance numerical and computational techniques associated with machine learning and artificial intelligence. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their coursework project. Theory and practical applications will be linked through discussion of real systems such as medical robotic surgeons and robotic musicians.

Cognitive Robotics (Robotics IV) (Undergraduate)

This module addresses the emerging field of autonomous systems possessing artificial reasoning skills and also environment and context awareness. The module will introduce students to advance numerical and computational techniques associated with machine learning and artificial intelligence. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity to design such a system as part of their coursework project. Theory and practical applications will be linked through discussion of real systems such as the medical robotic surgeons and robotic musicians.

Skills for Electronic Engineering (Undergraduate)

This module is designed to support first year students in the School of Electronic Engineering and Computer Science through the transition from school to university. It will provide students with the opportunity to work with others to develop and share basic practical skills that underpin many EECS first year modules, foster a sense of enquiry and intellectual curiosity, develop basic graduate attributes that underpin effective student learning, and prepare and encourage students to obtain some work / voluntary experience at an early stage in order to enhance their employability.

Skills for Robotics Engineering (Undergraduate)

This module is designed to support first year students on the MEng Robotics Engineering programme through the transition from school to university. It will provide students with the opportunity to work with others to develop and share basic practical skills that underpin many first year modules and beyond, foster a sense of enquiry and intellectual curiosity, develop basic graduate attributes that underpin effective student learning, and prepare and encourage students to obtain some work / voluntary experience at an early stage in order to enhance their employability.

Research

Research Interests:

I am Lecturer in Robotics at ARQ (Advanced Robotics at Queen Mary), Queen Mary University of London, UK.
I am interested in robot learning and cognition, with a focus on body schema, affordances, eye-hand coordination, manipulation, tool use, tactile/force sensing.

I also collaborate with VisLab, at the Instituto de Sistemas e Robotica of the Instituto Superior Tecnico (Lisbon, Portugal), as visiting associate researcher in humanoid and cognitive robotics, and with SuganoLab, at the Department of Modern Mechanical Engineering of Waseda University (Tokyo, Japan), as visiting professor in tactile sensing for robotic manipulation.


Before I was with the Biped Group of Takanishi Lab (Waseda University), and with the RBCS (Robotics Brain and Cognitive Science) Department of the IIT (Italian Institute of Technology).

Publications

  • Saponaro G, JAMONE L, Alexandre B et al. (2019). Beyond the Self: Using Grounded Affordances to Interpret and Describe Others’ Actions. nameOfConference



    Citations: 0
  • Junput B, Wei X, Jamone L (2019). Feel It on Your Fingers: Dataglove with Vibrotactile Feedback for Virtual Reality and Telerobotics. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Holgado AC, Alvarez Lopez JA, Schmitz A et al. (2018). An Adjustable Force Sensitive Sensor with an Electromagnet for a Soft, Distributed, Digital 3-axis Skin Sensor. nameOfConference


    QMRO: qmroHref

    Citations: 2
  • Castanheira J, Vicente P, Martinez-Cantin R et al. (2018). Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty. nameOfConference


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    Citations: 0
  • Schydlo P, Rakovic M, Jamone L et al. (2018). Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction. nameOfConference


    QMRO: qmroHref

    Citations: 6
  • Zenha R, Vicente P, Jamone L et al. (2018). Incremental adaptation of a robot body schema based on touch events. nameOfConference


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    Citations: 1
  • Taniguchi T, Ugur E, Hoffmann M et al. (2018). Symbol Emergence in Cognitive Developmental Systems: a Survey. nameOfConference



    Citations: 4
  • HOUGH J, JAMONE L, Schlangen D et al. (2018). Towards a Types-As-Classifiers Approach to Dialogue Processing in Human-Robot Interaction. Workshop on Dialogue and Perception (DaP 2018)

    DOI: doi


    Citations: 0
  • Antunes A, Saponaro G, Morse A et al. (2018). Learn, plan, remember: A developmental robot architecture for task solving. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Saponaro G, Vicente P, Dehban A et al. (2018). Learning at the ends: From hand to tool affordances in humanoid robots. nameOfConference


    QMRO: qmroHref

    Citations: 3
  • Tomo TP, Regoli M, Schmitz A et al. (2018). A New Silicone Structure for uSkin—A Soft, Distributed, Digital 3-Axis Skin Sensor and Its Integration on the Humanoid Robot iCub. nameOfConference



    Citations: 0
  • Jamone L, Ugur E, Cangelosi A et al. (2018). Affordances in Psychology, Neuroscience, and Robotics: A Survey. nameOfConference



    Citations: 12
  • Jamone L, Ugur E, Santos-Victor J (2018). Guest Editorial Special Issue on Affordances. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Vicente P, Jamone L, Bernardino A (2018). Markerless Eye-Hand kinematic calibration on the iCub humanoid robot. nameOfConference



    Citations: 0
  • Dehban A, Jamone L, Kampff AR et al. (2017). A deep probabilistic framework for heterogeneous self-supervised learning of affordances. nameOfConference


    QMRO: qmroHref

    Citations: 8
  • Ribeiro P, Khan MA, Alfadhel A et al. (2017). A Miniaturized Force Sensor Based on Hair-Like Flexible Magnetized Cylinders Deposited over a Giant Magnetoresistive Sensor. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Ribeiro PM, Alfhadel A, Kosel J et al. (2017). A miniaturized force sensor based on hair-like flexible magnetized cylinders deposited over a giant magnetoresistive sensor. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • JAMONE L (2017). Covering a Robot Fingertip with uSkin: a Soft Electronic Skin with Distributed 3-axis Force Sensitive Elements for Robot Hands. nameOfConference



    Citations: 0
  • Paulino T, Ribeiro P, Neto M et al. (2017). Low-cost 3-axis soft tactile sensors for the human-friendly robot Vizzy. nameOfConference


    QMRO: qmroHref

    Citations: 27
  • Vicente P, Jamone L, Bernardino A (2017). Towards markerless visual servoing of grasping tasks for humanoid robots. nameOfConference


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    Citations: 3
  • Ribeiro P, Asadullah Khan M, Alfadhel A et al. (2017). Bioinspired Ciliary Force Sensor for Robotic Platforms. nameOfConference



    Citations: 0
  • Tomo TP, Wong WK, Schmitz A et al. (2016). A modular, distributed, soft, 3-axis sensor system for robot hands. nameOfConference


    QMRO: qmroHref

    Citations: 16
  • Nogueira J, Martinez-Cantin R, Bernardino A et al. (2016). Unscented Bayesian optimization for safe robot grasping. nameOfConference


    QMRO: qmroHref

    Citations: 11
  • Vicente P, Jamone L, Bernardino A (2016). Robotic Hand Pose Estimation Based on Stereo Vision and GPU-enabled Internal Graphical Simulation. nameOfConference


    QMRO: qmroHref

    Citations: 8
  • Dehban A, Jamone L, Kampff AR et al. (2016). Denoising auto-encoders for learning of objects and tools affordances in continuous space. nameOfConference



    Citations: 11
  • Antunes A, Jamone L, Saponaro G et al. (2016). From human instructions to robot actions: Formulation of goals, affordances and probabilistic planning. nameOfConference


    QMRO: qmroHref

    Citations: 11
  • Tomo TP, Somlor S, Schmitz A et al. (2016). Design and Characterization of a Three-Axis Hall Effect-Based Soft Skin Sensor.. nameOfConference



    Citations: 0
  • Vicente P, Jamone L, Bernardino A (2016). Online body schema adaptation based on internal mental simulation and multisensory feedback. nameOfConference



    Citations: 8
  • Jamone L, Bernardino A, Santos-Victor J (2016). Benchmarking the Grasping Capabilities of the iCub Hand with the YCB Object and Model Set. nameOfConference



    Citations: 3
  • Tomo TP, Somlor S, Schmitz A et al. (2015). Development of a hall-effect based skin sensor. nameOfConference


    QMRO: qmroHref

    Citations: 6
  • Jamone L, Natale L, Metta G et al. (2015). Highly sensitive soft tactile sensors for an anthropomorphic robotic hand. nameOfConference



    Citations: 50
  • Brandão M, Jamone L, Kryczka P et al. (2015). Reaching for the unreachable: Integration of locomotion and whole-body movements for extended visually guided reaching. nameOfConference


    QMRO: qmroHref

    Citations: 3
  • Cardoso C, Jamone L, Bernardino A (2015). A novel approach to dynamic movement imitation based on quadratic programming. nameOfConference


    QMRO: qmroHref

    Citations: 3
  • Vicente P, Ferreira R, Jamone L et al. (2015). GPU-enabled particle based optimization for robotic-hand pose estimation and self-calibration. nameOfConference


    QMRO: qmroHref

    Citations: 5
  • Jamone L, Saponaro G, Antunes A et al. (2015). Learning object affordances for tool use and problem solving in cognitive robots. nameOfConference

    DOI: doi

    QMRO: qmroHref

    Citations: 0
  • Jamone L, Brandao M, Natale L et al. (2014). Autonomous online generation of a motor representation of the workspace for intelligent whole-body reaching. nameOfConference


    QMRO: qmroHref

    Citations: 14
  • Jamone L, Fumagalli M, Natale L et al. (2014). Control of physical interaction through tactile and force sensing during visually guided reaching. nameOfConference


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    Citations: 2
  • Vicente P, Ferreira R, Jamone L et al. (2014). Eye-hand online adaptation during reaching tasks in a humanoid robot. nameOfConference


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    Citations: 4
  • Jamone L, Damas B, Santos-Victor J (2014). Incremental learning of context-dependent dynamic internal models for robot control. nameOfConference


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    Citations: 10
  • Goncalves A, Abrantes J, Saponaro G et al. (2014). Learning intermediate object affordances: Towards the development of a tool concept. nameOfConference


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    Citations: 20
  • Gonçalves A, Saponaro G, Jamone L et al. (2014). Learning visual affordances of objects and tools through autonomous robot exploration. nameOfConference


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    Citations: 15
  • Trovato G, Zecca M, Sessa S et al. (2013). Towards culture-specific robot customisation: A study on greeting interaction with Egyptians. nameOfConference


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    Citations: 7
  • Damas B, Jamone L, Santos-Victor J (2013). Open and closed-loop task space trajectory control of redundant robots using learned models. nameOfConference


    QMRO: qmroHref

    Citations: 6
  • Kishi T, Kojima T, Endo N et al. (2013). Impression survey of the emotion expression humanoid robot with mental model based dynamic emotions. nameOfConference


    QMRO: qmroHref

    Citations: 10
  • Otani T, Iizuka A, Takamoto D et al. (2013). New shank mechanism for humanoid robot mimicking human-like walking in horizontal and frontal plane. nameOfConference


    QMRO: qmroHref

    Citations: 4
  • Jamone L, Damas B, Santos-Victor J et al. (2013). Online learning of humanoid robot kinematics under switching tools contexts. nameOfConference


    QMRO: qmroHref

    Citations: 7
  • Trovato G, Zecca M, Sessa S et al. (2013). Cross-cultural study on human-robot greeting interaction: acceptance and discomfort by Egyptians and Japanese. nameOfConference


    QMRO: qmroHref

    Citations: 0
  • Jamone L, Natale L, Sandini G et al. (2012). Interactive online learning of the kinematic workspace of a humanoid robot. nameOfConference


    QMRO: qmroHref

    Citations: 9
  • Jamone L, Natale L, Hashimoto K et al. (2012). Learning the reachable space of a humanoid robot: A bio-inspired approach. nameOfConference


    QMRO: qmroHref

    Citations: 4
  • Jamone L, Natale L, Nori F et al. (2012). Autonomous online learning of reaching behavior in a humanoid robot. nameOfConference


    QMRO: qmroHref

    Citations: 34
  • Jamone L, Damas B, Endo N et al. (2012). Incremental Development of Multiple Tool Models for Robotic Reaching Through Autonomous Exploration. nameOfConference


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    Citations: 0
  • Jamone L, Natale L, Hashimoto K et al. (2011). Learning task space control through goal directed exploration. nameOfConference


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    Citations: 17
  • Jamone L, Fumagalli M, Metta G et al. (2010). Machine-learning based control of a human-like tendon-driven neck. nameOfConference


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    Citations: 9
  • Fumagalli M, Gijsberts A, Ivaldi S et al. (2010). Learning to exploit proximal force sensing: A comparison approach. nameOfConference


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    Citations: 18
  • Fumagalli M, Jamone L, Metta G et al. (2009). A force sensor for the control of a human-like tendon driven neck. nameOfConference


    QMRO: qmroHref

    Citations: 10
  • Nori F, Jamone L, Sandini G et al. (2007). Acc5urate control of a human-like tendon-driven neck. nameOfConference


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    Citations: 24
  • Nori F, Metta G, Jamone L et al. (2006). Adaptive combination of motor primitives. nameOfConference

    DOI: doi

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    Citations: 0
  • Jamone L, Metta G, Nori F et al. (2006). James: A humanoid robot acting over an unstructured world. nameOfConference


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    Citations: 54