ReviewFrontiers in robotics and AI2020
A Brief Survey of Telerobotic Time Delay Mitigation.
Review in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Intention-Action Conflict EEG-Hand Kinematics Dataset for Unimanual Control under Congruent and Incongruent Conditions.Scientific data · 2026Article
- A Master-Follower Teleoperation System for Robotic Catheterisation: Design, Characterisation and Tracking Control.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025Article
- Impact of imperceptible motion delay in avatar head movement away from a target on preference formation.PloS one · 2025Article
- Network Latency in Teleoperation of Connected and Autonomous Vehicles: A Review of Trends, Challenges, and Mitigation Strategies.Sensors (Basel, Switzerland) · 2024Review
- Technical and ethical considerations in telesurgery.Journal of robotic surgery · 2024Review
- Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis.Frontiers in human neuroscience · 2024Article
- An efficient grasping shared control architecture for unpredictable and unspecified tasks.Frontiers in neurorobotics · 2024Article
- Brain functional connectivity under teleoperation latency: a fNIRS study.Frontiers in neuroscience · 2024Article
- WebRTC-based MOSR remote control of mobile manipulators.International journal of intelligent robotics and applications · 2023Article
- Towards Haptic-Based Dual-Arm Manipulation.Sensors (Basel, Switzerland) · 2022Article
- Comparative Analysis of Model-Based Predictive Shared Control for Delayed Operation in Object Reaching and Recognition Tasks With Tactile Sensing.Frontiers in robotics and AI · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a substantial number of telerobotics and teleoperation applications ranging from space operations, ground/aerial robotics, drive-by-wire systems to medical interventions. Major obstacles for such applications include latency, channel corruptions, and bandwidth which limit teleoperation efficacy. This survey reviews the time delay problem in teleoperation systems. We briefly review different solutions from early approaches which consist of control-theory-based models and user interface designs and focus on newer approaches developed since 2014. Future solutions to the time delay problem will likely be hybrid solutions which include modeling of user intent, prediction of robot movements, and time delay prediction all potentially using time series prediction methods. Hence, we examine methods that are primarily based on time series prediction. Recent prediction approaches take advantage of advances in nonlinear statistical models as well as machine learning and neural network techniques. We review Recurrent Neural Networks, Long Short-Term Memory, Sequence to Sequence, and Generative Adversarial Network models and examine each of these approaches for addressing time delay. As time delay is still an unsolved problem, we suggest some possible future research directions from information-theory-based modeling, which may lead to promising new approaches to advancing the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.