Robotics societyof singapore

新加坡机器人学专业协会

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Seminars in Robotics

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  • 5 Apr 2022 7:04 AM | Anonymous

    Wednesday 30 March 2022 - 11:00-12:30 online via Zoom

    Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block opponents while operating their vehicles at their traction limits. Racing simulations, such as the PlayStation game Gran Turismo, faithfully reproduce the non-linear control challenges of real race cars while also encapsulating the complex multi-agent interactions. Here we describe how we trained agents for Gran Turismo that can compete with the world’s best e-sports drivers. We combine state-of-the-art, model-free, deep reinforcement learning algorithms with mixed-scenario training to learn an integrated control policy that combines exceptional speed with impressive tactics. In addition, we construct a reward function that enables the agent to be competitive while adhering to racing’s important, but under-specified, sportsmanship rules. We demonstrate the capabilities of our agent, Gran Turismo Sophy, by winning a head-to-head competition against four of the world’s best Gran Turismo drivers. By describing how we trained championship-level racers, we demonstrate the possibilities and challenges of using these techniques to control complex dynamical systems in domains where agents must respect imprecisely defined human norms.

    More details at: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on


  • 23 Feb 2022 7:13 PM | Anonymous

    The Center for Robotics and Neural Systems (CRNS) is pleased to announce the talk of Dr. Séverin Lemaignan who is a senior scientist at PAL Robotics, Spain on Wednesday, March 2nd  from 11:00 am to 12:30 pm (London time) over Zoom.

    >> Events: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here:

     https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on

    >> Link for the next event (No Registration is Required)

    Join Zoom Meeting

    https://plymouth.zoom.us/j/97451532624?pwd=ZmVSUzkrT3lUNWdXNmFEekNYSjRQUT09&from=addon

    >> Title of the talk:  Teaching robots autonomy in social situations

    Abstract:

    Participatory methodologies are now well established in social robotics to generate blueprints of what robots should do to assist humans. The actual implementation of these blueprints, however, remains a technical challenge for us, roboticists, and the end-users are not usually involved at that stage.

    In two recent studies, we have however shown that, under the right conditions, robots can directly learn their behaviours from domain experts, replacing the traditional heuristic-based or plan-based robot controllers by autonomously learnt social policies. We have derived from these studies a novel 'end-to-end' participatory methodology called LEADOR, that I will introduce during the seminar.

    I will also discuss recent progress on human perception and modeling in a ROS environment with the emerging ROS4HRI standard.


  • 10 Feb 2022 5:20 PM | Anonymous

    Unmanned systems have applications in many areas such as surveillance, transport, structure inspection, logistics, etc. Perception and localization are essential capabilities of unmanned systems. There have been a lot of studies on perception and localization based on various sensors such as camera and LiDAR. Each type of sensor has its pros and cons. Different application scenario will require different sensors and there is no one-size-fits-all solution. To achieve accurate and reliable localization in complex environments, heterogeneous sensor fusion has been a recent trend and attracted significant interest. In this talk, we shall present some recent development and discuss possible future directions of the area. The applications of unmanned systems in structure inspection and logistics will be demonstrated.

    Speaker Biography

    Dr Xie Lihua is a professor in the School of Electrical and Electronic Engineering, Nanyang Technological University and Director, Center for Advanced Robotics Technology Innovation (CARTIN). He had served as Head of Control and Instrumentation Division and Director of Delta-NTU Corporate Laboratory for Cyber-Physical Systems. His research areas include control engineering, indoor positioning, and unmanned systems. He has authored and co-authored 9 books, over 500 journal and 380 conference articles, and 20 patents/technical disclosures. He was listed as a highly cited researcher annually from 2014 to 2020. He has secured over $90M research funding as programme and project PI. He is currently an Editor-in-Chief of Unmanned Systems and has served as an Editor of IET Book Series on Control and Associate Editor of IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Control of Network Systems, etc. He was an IEEE Distinguished Lecturer (2011- 2014). Professor Xie is a Fellow of IEEE, a Fellow of IFAC, and a Fellow of Academy of Engineering Singapore.

    Venue: Online Zoom Meeting Wednesday, 23 February 2022 10:00 am – 11:00 am

    (Registration starts at 9:45 am)

    Register at URL: https://bit.ly/3A5XWNt


  • 10 Dec 2021 1:16 PM | Anonymous

    We are pleased to invite you to attend the Singapore Centre for 3D Printing (SC3DP) Inspiring Ideas Webinar Series on “Future of Additive Manufacturing - Grand Challenges”.

    What does it take for Additive Manufacturing (AM) to move beyond? The second webinar will continue explore the grand challenges of AM and its potential for growth. There will be three talks followed by a panel discussion. The session will be moderated by Prof Paulo Bartolo, SC3DP Executive Director.

    The monthly Inspiring Ideas Webinar Series aims to cover the different aspects of AM, drawing insights from global academic and industry thought-leaders to generate discussion and action on the advancement of AM technology and its integration into the emerging suite of Industry 4.0 digital technologies.

    Please see below for the registration link and more details on the webinar. We look forward to your participation.  

    Date:

    10 December 2021, Friday

    Time:

    4.00pm – 5.30pm (SGT / GMT+8:00)

    Registration Link:

    https://wis.ntu.edu.sg/pls/webexe88/REGISTER_NTU.REGISTER?EVENT_ID=OA21112215554676

    (Zoom link will be provided in confirmation email after registration)

    More Information:

    Visit event page


  • 7 Dec 2021 11:28 AM | Anonymous

    December 10th, 2021 - 9am PT | 5pm GMT | 6pm CET
    Zoom Registration link: https://us02web.zoom.us/meeting/register/tZ0lf-uhqTkuHtyRsq87OhXs40KLKNwDmieg
    *The talk and discussion will be recorded and shared publicly. Registration is free (and mandatory).

    Session information:
    Speaker
    Krishna Murthy, University of Montreal

    Title
    Evaluating Robot Task Planning Over Large 3D Scene Graphs

    Speaker Bio
    Krishna Murthy is a PhD candidate at the Robotics and Embodied AI lab and Mila at the University of Montreal, working on differentiable adaptations of physical processes (computer vision, robotics, graphics, physics, and optimization) and their applicability in modern learning pipelines. His work has been recognized with an NVIDIA graduate fellowship (2021) and a best paper award from Robotics and Automation letters (2019). He was also chosen to the RSS Pioneers cohort in 2020.

    Speaker Links
    Website: https://krrish94.github.io/
    Google Scholar: https://scholar.google.co.uk/citations?user=kcr8134AAAAJ

    GitHub: https://github.com/krrish94
    LinkedIn: https://www.linkedin.com/in/krrish94/
    Twitter: @_krishna_murthy

    Papers covered during the talk

    ·  Project page: https://taskography.github.io/

    Talking Robotics is a series of virtual seminars about Robotics and its interaction with other relevant fields, such as Artificial Intelligence, Machine Learning, Design Research, Human-Robot Interaction, among others. We aim to promote reflections, dialogues, and a place to network.


  • 11 Nov 2021 11:33 AM | Anonymous

    Nov 25, 2021

    Robots perform heart surgery: reality. Robots help the elderly get up from bed: fiction.


    In the robotic world, the line between fiction and reality is counterintuitive. The growth in robotic technology is now entering a golden age. At home, vacuum robots clean our floors autonomously while we are at work. In hotels, delivery robots deliver items to our rooms. On the road, self-driving cars take us to our designated destination with minimal human help.

    The next generation of robots offer significant opportunities for improving our quality of life as well as in meeting some of society’s most pressing needs – the current pandemic and aging population.

    In this webinar, Professor David Hsu will share some insights into the latest robot technology development, dispel some unrealistic expectations, and most importantly, have a conversation to speculate on what lies ahead, why some robots succeed more than others, and what all these mean for Singapore.

    Registration at: 

    https://ntu-sg.zoom.us/webinar/register/WN_jlXiXt8pSDyWlYKNSrOuFg

  • 2 Nov 2021 3:25 PM | Anonymous

    FACTS is pleased to announce that Associate Professor Michel Bosman from National University of Singapore, will be the invited speaker for our upcoming FACTS Seminar on "Nano-optics in the Scanning TEM”.

    Please find details below – we hope to see you online!

    Date: 9 Nov 2021, 10 am (Singapore)
    Zoom link:
    https://ntu-sg.zoom.us/j/97824574615

    Meeting ID: 978 2457 4615  
    Passcode: 090524

    Abstract:

    Materials can be patterned to change the way in which they interact with light. They can be made to absorb in specific wavelength bands, have polarization-dependent colour, or light can even be trapped on a surface. These properties can be engineered by controlling one or more resonant modes, such as Mie resonances, surface plasmon resonances and bound states in-the-continuum. In this presentation, it will be shown that the scanning TEM (STEM) can be a unique and useful tool to measure optical properties at the nanometer length scale. For example, it will be demonstrated how monochromated electron energy loss-spectroscopy (EELS) can be used to measure femtosecond electron dynamics in plasmons with nanometer spatial precision. By combining this technique with STEM-cathodoluminescence, it is also possible to visualize light that is trapped on surfaces in so-called bound-states-in-the-continuum. Quantitative, nanoscale measurements even allow us to directly measure the coherent interaction length of these optical modes.

    About the speaker:

    Dr Bosman is an Associate Professor at the National University of Singapore and a Scientist at the A*STAR Institute of Materials Research and Engineering in Singapore, specializing in Scanning Transmission Electron Microscopy (STEM). He is trained at Delft University of Technology (the Netherlands) and at the University of Sydney, with postdoctoral experience in Australia, the UK, and Singapore. His research focuses on nanoscale sample characterization using electron spectroscopy and on the development of experimental nano-optical techniques in the STEM, such as monochromated electron energy-loss spectroscopy (EELS).


  • 11 Oct 2021 10:26 AM | Anonymous

    Healthcare AI has shown great potential in diagnosing and combating diseases such as diabetic retinopathy. Currently, to train a high performing deep learning model, a large number of high quality, accurately labeled data, as well as substantial computing resources, are needed. These data are unlikely to be found especially during early phases of a disease outbreak. Moreover, deep learning models can give overly confident predictions on out-of-distribution data, which may be misleading to the diagnosticians. We will describe two techniques to enable rapid identification of novel diseases like COVID-19 under limited data. The first technique addresses the challenge of label scarcity, and makes use of a conditional generative flow and a classifier for conditional synthetic data generation. The second technique helps detecting out-of-distribution inputs to a deep learningbased classification model. The model uses modern anomaly/outlier detection algorithms to analyze the outputs of a supervised classification model in order to identify potentially novel diseases. We present case studies using real-world medical image data and show the efficacy of proposed techniques.

    29 October 2021

    1300 – 1400h (UTC +8) 

    Zoom Meeting Link:

    https://berkeley.zoom.us/j/92771443204?pwd=cDhYbWoyenM4aUhKYThS S0pzZlE2QT09

    Meeting ID: 927 7144 3204

    Passcode: 196792

  • 13 Sep 2021 3:51 PM | Anonymous

    Date: 21 September 2021

    Time: 16h00 - 17h00

    The Centre for Research Excellence and Technological Enterprise (CREATE), an international collaboratory at the National Research Foundation, will be having a webinar on 24 September, Friday. Each month, different CREATE entities would be hosting the webinar to showcase their research, and to engage the audience for potential collaborative opportunities.

    Zoom Meeting Link:

    https://us02web.zoom.us/j/81537935447?pwd=bGVzL0xaNG

    h5TGtoQW5oNVZ4TktYdz09

    Webinar ID: 815 3793 5447

    Passcode: 672078


  • 13 Sep 2021 9:15 AM | Anonymous

    When can Singapore Welcome Her First Nobel Laureate?

    In the latest itineration of the Highly Cited Researchers (HCR) list, Clarivate has identified 81 HCRs with a Singapore primary affiliation. 88% of the Highly Cited Papers published by these HCRs were when they were affiliated to a Singapore organization, rather than their previous works elsewhere. This means the local research ecosystem has supported the creation of these impactful works over the past decade. 

    With the high number of HCRs from Singapore, the next milestone to look forward is for Singapore to soon welcome her first Nobel Laureate. To that end, Clarivate has since 2002 released an annual list of global researchers that are “Nobel Class”. Dubbed as Citation Laureates, to date 59 of them went on to win the Nobel prize, 29 of them within 2 years of being listed.

    Join our webinar with Professor Andy Hor, Professor Barry Halliwell, David Pendlebury and Inn Beng Lee as they walk through and unveil insights of Singapore journey towards achieving research excellence, and global recognition of research impact.

    The full agenda can be viewed on our website : Clarivate


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