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Mark Zolotas

Researcher on Human-Robot Interaction

Research

  • Shared Control
  • Extended Reality & Robotics
  • Teleoperation
  • Ergonomics & Robotics
  • Self-Organizing Multi-agent Systems

Teaching

  • Introduction to Machine Learning
  • Robot Operating System (ROS) Tutorials

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  • March 2024 — Our paper on “Imposing Motion Variability for Ergonomic Human-Robot Collaboration” was accepted for publication in the IISE Transactions on Occupational Ergonomics and Human Factors
  • Nov 2023 — Demonstrated our augmented reality task guidance system at MIT as part of the DARPA Perceptually-enabled Task Guidance (PTG) program
  • Aug 2023 — Presented a poster and participated in a panel session at the NSF Future of Work at the Human-Technology Frontier Principal Investigators’ Meeting
  • May 2023 — The team I advise was selected for participation in the 2024 Marine Energy Collegiate Competition (MECC) and was awarded a $20K prize
  • May 2023 — Our paper on “Mobile MoCap: Retroreflector Localization On-The-Go” was accepted at the International Conference on Automation Science and Engineering (CASE 2023)
  • Oct 2022 — Introduced a novel representation learning framework on “Disentangled Sequence Clustering for Human Intention Inference” at IROS 2022 in Kyoto
  • Aug 2022 — Presented our paper on “Productive Inconvenience: Facilitating Posture Variability by Stimulating Robot-to-Human Handovers” at the IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2022)
  • May 2022 — Began lecturing the EECE5644 “Introduction to Machine Learning & Pattern Recognition” course at Northeastern University over the Summer semesters
  • Sept 2021 — Co-supervised the Northeastern University’s team to place 2nd in NASA’s 2020-2021 RASC-AL Moon to Mars Ice and Prospecting Challenge, see story here
  • Aug 2021 — Published a Frontiers in Robotics and AI article titled “Motion Polytopes in Virtual Reality for Shared Control in Remote Manipulation Applications”
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