Zihao Zhang

ORCID: 0009-0007-5312-5340
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About
Contact & Profiles
Research Areas
  • Tactile and Sensory Interactions
  • Smart Parking Systems Research
  • Indoor and Outdoor Localization Technologies
  • Robotic Mechanisms and Dynamics
  • Power Systems and Technologies
  • Innovative Human-Technology Interaction
  • Child Development and Digital Technology
  • Robot Manipulation and Learning
  • Teaching and Learning Programming
  • Video Surveillance and Tracking Methods
  • Simulation and Modeling Applications
  • Reinforcement Learning in Robotics
  • Maritime Navigation and Safety
  • Hydraulic and Pneumatic Systems

Columbia University
2023-2024

Beijing University of Technology
2021

Beijing Academy of Artificial Intelligence
2021

Children's online co-design has become prevalent since COVID-19. However, related research focuses on insights gained across several shorter-term projects, rather than longitudinal investigations. To explore online, we engaged in participatory design with children (ages 8 - 12) for 20 sessions two years a single project: an collaboration platform tabletop telepresence robots. We found that (1) the technology space required to play role as managers and troubleshooters, (2) home setting shaped...

10.1145/3585088.3589359 article EN 2023-06-14

Blind and low-vision (BLV) people use GPS-based systems for outdoor navigation assistance, which provide instructions to get from one place another. However, such do not users with real-time, precise information about their location surroundings is crucial safe navigation. In this work, we investigate whether street cameras can be used address aspects of that BLV still find challenging existing assistive technologies. We conducted formative interviews six participants identify specific...

10.1145/3597638.3614498 article EN 2023-10-19

When using the overall strategy to learn complex multi-step tasks performed by robot, learned have poor versatility and limited generalization ability. Therefore, this paper proposes an imitation learning method for based on combination of lagged Bayesian change-point detection algorithm dynamic movement primitive algorithm. This can divide demonstration robot task into basic motions, realize combining motions in sequence. Simulation experiments show that proposed tasks.

10.1109/cyber53097.2021.9588286 article EN 2021-07-27
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