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IROS 2022

Block-based Novel Haptic Data Reduction for Time-delayed Teleoperation

Conference Paper Accepted Paper Artificial Intelligence ยท Robotics

Abstract

This work proposes a novel haptic data reduction scheme for time-delayed teleoperation by coding information as blocks. State-of-the-art (SOTA) haptic data reduction approaches are mainly sampled-based schemes. They encode haptic signals sample by sample in order to minimize the introduced coding delay. In contrast, our proposed block-based coding approach transmits a sample block as a single unit (haptic packet). Although it introduces additional algorithmic delays that are proportional to the block length, block coding has benefits since the packet rate is easy to control, the coding approach can be lossless, and the intra-block information can be employed to improve the force feedback quality. We further develop an energy adjustment approach that uses the information in a block to mitigate force oscillations caused by the Time Domain Passivity Approach. Simulation experiments and subjective tests demonstrate that our method reduces network load and significantly increases force feedback quality compared with the SOTA sample-based coding schemes, particularly for mid- to high-latency networks and low packet rates.

Authors

Keywords

  • Force
  • Force feedback
  • Encoding
  • Delays
  • Block codes
  • Indexes
  • Time-domain analysis
  • Data Reduction
  • Haptic Data
  • Reduction Strategies
  • Block Length
  • Additional Delay
  • Code Blocks
  • Forced Oscillation
  • Energy Adjustment
  • Control Strategy
  • Abrupt Changes
  • Energy Output
  • Communication Delay
  • Energy Information
  • Small Delay
  • Force Signal
  • Packet Transmission
  • Aggregate Sample
  • Compression Scheme
  • Lossless Compression
  • Channel Delay
  • Haptic Communication
  • Teleoperation System

Context

Venue
IEEE/RSJ International Conference on Intelligent Robots and Systems
Archive span
1988-2025
Indexed papers
26578
Paper id
860745816852270819
v2026.09.13