• Start Date: September 25, 2021
  • End Date: September 25, 2021
  • Event Start Time: 9:00 AM
  • Event End Time: 4:00 PM
  • Location: Busch Student Center (The Cove)  
  • The workshop is held annually as part of the NSF National Research Traineeship SOCRATES (Socially Cognizant Robotics for a Technology Enhanced Society) co-sponsored by DATA-INSPIRE (DATA science for INtelligent Systems and People Interaction), an NSF TRIPODS Institute based at Rutgers University (http://robotics.cs.rutgers.edu/data-inspire/)

    Come listen to talks from the top industry leaders:

    • Hui Cheng, Seedland Group
    • Rakesh Kumar, SRI International
    • Joey Durham, Amazon Robotics
    • Yoichiro Endo, Intelligent Automation, Inc.
    • Itai Segall, Nokia Bell-Labs
    • Dr. Daewon Lee, Samsung

    This annual robotics workshop is held for faculty, students, and industry representatives. The workshop will have both internal and external speakers as well as a poster session for students to present their robotics research.  The workshop also features a panel for the discussion of ethics in robotics. Please join us on September 24th, 2021 at the Busch Student Center (The Cove).  

    Registration is required. The workshop has no fee. Please register via the following registration link below. We are planning in-person attendance, but we may have to limit the numbers. Information will be provided soon for virtual attendance options.

    Registration for Robotics Workshop:
    https://forms.gle/eosuQA7mjFJ5kLcF9

    Registration for a Poster Session:
    https://docs.google.com/forms/d/1Vh6S_TdY0a8uNXQE_MBanonk36YvDtY8PsxLBYfAZJo/edit

    September 24, 2021  9am - 4pm

    Location: Busch Student Center, The Cove

     

    The SOCRATES NRT has assembled a Panel of Philosophers and Ethicists including Rutgers faculty Alex Guerrero, Susanna Schellenberg, Patrick Hill, and Brian McLaughlin.

    The SOCRATES NRT has assembled an Industry Consortium with representatives from companies such as Amazon, Microsoft, SRI, Intelligent Automation.

    For more information on the SOCRATES NRT, see https://robotics.rutgers.edu/

  • Friday, September 24, 2021

    Workshop Talks

    9:00 AM – 10:00 AM

    Introduction of SOCRATES and Rutgers talks

    Jingang Yi - Rutgers University , Matthew Stone - Rutgers University , Hal Salzman - Rutgers University , Aaron Mazzeo - Rutgers University , Pernille Hemmer - Rutgers University , Jacob Feldman - Rutgers University , Kristin Dana - Rutgers University , Kostas Bekris - Rutgers University , Clinton Andrews - Rutgers University

    Taming Combinatorial Challenges of Object Rearrangement in Confined Workspaces

    Rui Wang  (Advisor: Kostas Bekris)

    Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation

    Shiyang Lu  (Advisor: Kostas Bekris)

    Lagrangian Particle-based Coupled Simulations of Fracture and Diffusion in Thin Membranes

    Chengguzi Han  (Advisor: Mridul Aanjaneya)

    Unified constitutive models and applications

    Haozhe Su  (Advisor: Mridul Aanjaneya)

    Persistent Homology applied to high-level planning for pushing actions

    Ewerton R Vieira (Advisors: Konstantin Mischaikow & Kostas Bekris)

    The Interplay Between Local and Global Strategies in Navigational Decisions

    Serena DeStefani  (Advisor: Jacob Feldman)

    Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions

    Liam Schramm  (Advisor: Abdeslam Boularias)

    Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations

    Junchi Liang  (Advisor: Abdeslam Boularias)

    Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis

    Baber Khalid  (Advisor: Matthew Stone)

    Terrain-Aware Motion Planning for Physically Simulated Systems

    Troy McMahon

    Paper-Based Electrodes for Hand Prosthesis Contro

    Ziyad Abouelenin

    10:00 AM – 10:40 AM

    Poster Session

    Scrubbing Robots for the Sanitization of Surfaces

    Noah Harmatz (Advisor: Aaron Mazzeo)

     

     

    Faith Johnson Fuedal Steering – Hierarchical Learning for Steering Angle Prediction (Advisor: Kristin Dana)

    Richard Magnotti A Framework for Improving Commonsense Reasoning System Transparency and Accuracy with Human Feedback (Advisor: Matthew Stone)

     

    Peri Akiva Finding Berries: Automated Agriculture Evaluation using Computer Vision (Advisor: Kristin Dana)

    Laura Saad An ACT-R Model of a Temporal Binding Task (Advisors: Pernille Hemmer and Julie Musolino)

    Aravind Sivaramakrishnan Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers (Advisor: Kostas Bekris)

    Kun Wang D^3 PET: D^3 PET: A Data Driven Differentiable Physics Engine for Tensegrity Robots (Advisor: Kostas Bekris)

    Yinglong Miao MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints (Advisor: Kostas Bekris)

    Edgar Granados The ML4KP library: Integrating Machine Learning and Kinodynamic Motion Planning (Advisor: Kostas Bekris)

    Matthew Purri Teaching Cameras to Feel (Advisor: Kristin Dana)

    10:40 AM – 11:05 AM

    The Resh Language & Runtime System for Orchestration of Autonomous Robots

    Itai Segall - Nokia Bell Labs

    11:05 AM – 11:30 AM

    What Amazon Robotics is doing and working on for the Future

    Joey Durham - Amazon

    Scrubbing Robots for the Sanitization of Surfaces

    Noah Harmatz  (Advisor: Aaron Mazzeo)

    Fuedal Steering – Hierarchical Learning for Steering Angle Prediction

    Faith Johnson  (Advisor: Kristin Dana)

    A Framework for Improving Commonsense Reasoning System Transparency and Accuracy with Human Feedback

    Richard Magnotti  (Advisor: Matthew Stone)

    Finding Berries: Automated Agriculture Evaluation using Computer Vision

    Peri Akiva  (Advisor: Kristin Dana)

    An ACT-R Model of a Temporal Binding Task

    Laura Saad  (Advisors: Pernille Hemmer and Julie Musolino)

    Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers

    Aravind Sivaramakrishnan  (Advisor: Kostas Bekris)

    D^3 PET: D^3 PET: A Data Driven Differentiable Physics Engine for Tensegrity Robots

    Kun Wang (Advisor: Kostas Bekris)

    MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints

    Yinglong Miao  (Advisor: Kostas Bekris)

    The ML4KP library: Integrating Machine Learning and Kinodynamic Motion Planning

    Edgar Granados  (Advisor: Kostas Bekris)

    Teaching Cameras to Feel

    Matthew Purri  (Advisor: Kristin Dana

    11:30 AM – 12:00 PM

    AI-Enabled Smart Home, Smart Community and Smart City at Scale

    Hui Cheng - Seedland Group

    12:00 PM – 1:00 PM

    Break

    1:00 PM – 1:25 PM

    Human State Measurement, Augmented Reality and Assessment of Collaboration

    Rakesh (Teddy) Kumar - SRI International

    1:25 PM – 1:50 PM

    Robotics Research at Intelligent Automation, Inc. (IAI)

    Yoichiro Endo - Intelligent Automation, Inc

    1:50 PM – 2:20 PM

    Look, Listen and Feel: towards the next step for robot autonomy

    Daewon Lee - Samsung AI Center-New York

    2:20 PM – 3:00 PM

    Poster Session II

    3:00 PM – 4:00 PM

    Panel on Ethics in Robotics

    Poster Session

    Taming Combinatorial Challenges of Object Rearrangement in Confined Workspaces

    Rui Wang  (Advisor: Kostas Bekris)

    Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation

    Shiyang Lu  (Advisor: Kostas Bekris)

    Lagrangian Particle-based Coupled Simulations of Fracture and Diffusion in Thin Membranes

    Chengguzi Han  (Advisor: Mridul Aanjaneya)

    Unified constitutive models and applications

    Haozhe Su  (Advisor: Mridul Aanjaneya)

    Persistent Homology applied to high-level planning for pushing actions

    Ewerton R Vieira (Advisors: Konstantin Mischaikow & Kostas Bekris)

    The Interplay Between Local and Global Strategies in Navigational Decisions

    Serena DeStefani  (Advisor: Jacob Feldman)

    Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions

    Liam Schramm  (Advisor: Abdeslam Boularias)

    Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations

    Junchi Liang  (Advisor: Abdeslam Boularias)

    Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis

    Baber Khalid  (Advisor: Matthew Stone)

    Terrain-Aware Motion Planning for Physically Simulated Systems

    Troy McMahon

    Paper-Based Electrodes for Hand Prosthesis Contro

    Ziyad Abouelenin

    Poster Session II

    Susanna Schellenberg - Rutgers University , T. Patrick Hill - Rutgers University , Alex Guerrero - Rutgers University