Temporally Decoupled Touch-Responsive Humanoid Interaction with Interruptible Motion Execution

Taemoon Jeong1†, Junghyeon Ma2†, Chanwoo Kim1, Junha Min2, Yunseong Bang2, Jeongeun Park1, Sungjoon Choi1*, Kyungseo Park2*
Korea University1,
Daegu Gyeongbuk Institute of Science and Technology (DGIST)2

†Equal Contribution

*Corresponding Authors
Korea University DGIST

Accepted to Humanoids 2026

Our humanoid combines multimodal tactile skin and visual spatial awareness for touch-responsive interaction. Asynchronous perception updates guide expressive motion, with anchor-based transitions preserving continuous 200 Hz execution.

Abstract

A humanoid can be touched while executing an expressive motion, requiring behavior updates without disrupting continuous execution. This is challenging because tactile state, touch-type estimation, and vision-based spatial context operate at different temporal scales. We hypothesize that separating these streams according to their temporal roles enables asynchronous updates while preserving fixed-rate control. We present a touch-responsive humanoid system with a temporally decoupled runtime architecture and interruptible motion execution. A 200 Hz region-wise tactile state supports immediate interruption or hold requests, while slower touch-type and vision-derived occupancy streams update the pending behavior. An anchor-based executor redirects the motion at the next valid anchor. The analytical command-level timing estimate is approximately 14 ms under the assumed stage delays, excluding anchor waiting time and actuator response. A 20-participant study evaluates four touch classes. Across 60 interaction trials, the intended transition was selected in 55 cases (91.7%), and all selected motions satisfied their predefined continuation, hold, or anchor-based redirection outcomes, with no observed robot–human collisions under tested conditions.

Touch-Responsive Humanoid Platform

(a) 12-DoF upper-body humanoid, (b) link-level sensing electronics, and (c) a multimodal pneumatic/capacitive skin element.

(a) Upper-Body Platform: The 12-DoF humanoid combines a 2-DoF head and two 5-DoF arms. An LCD display presents facial expressions synchronized with upper-body motion.

(b) Link-Level Sensing Electronics: Local Teensy 4.0 microcontrollers condition and aggregate tactile signals near each robot link.

(c) Multimodal Skin Element: Pneumatic pads capture contact pressure, while conductive fabric electrodes detect proximity and light contact through capacitance changes.

Multimodal Tactile Sensing

Three sensing responses: Press with low-pass filtered pneumatic pressure, Tap with high-pass filtered pneumatic pressure, and Touch with capacitance changes. Dashed lines show detection thresholds.

Our humanoid's multimodal skin combines pneumatic pressure and capacitive sensing to provide complementary cues.

Press: Low-pass pressure captures sustained contact.

Tap: High-pass pressure captures impulsive contact.

Touch: Capacitance captures proximity and light contact.

Temporally Decoupled Interaction Architecture

(a) Multimodal skin and vision provide perception sources. (b) Fast tactile, semantic tactile, and spatial streams update asynchronously. (c) A behavior selector and reflex monitor feed an anchor-based transition executor with a 200 Hz joint command loop.

(a) Perception Sources: Our pneumatic and capacitive skin provides pressure, impulse, and proximity cues indexed by body region. In parallel, a stereo camera tracks human pose to estimate occupancy around the robot.

(b) Asynchronous Runtime Streams: Fast tactile monitoring, touch-type estimation, and spatial occupancy update independently at 200 Hz, 4 Hz, and approximately 30 Hz, respectively. Each stream provides its latest observation without blocking the command loop.

(c) Decision & Execution: The selector updates the pending behavior using tactile and spatial context, while direct tactile changes can issue higher-priority hold or interruption requests. The executor maintains 200 Hz commands and redirects motion through a validated transition at the next allowable anchor.

Voxel-Based Spatial Context

Our system maps human pose observations to a 12-region occupancy vector that informs FSM updates and filters candidate upper-body motions. The videos show how occupancy changes as a person moves around our humanoid.

Interaction Demonstrations

Scenario 1: Attention and Interaction Regulation

Scenario 2: Social-Affective Interaction

Paper

BibTeX

@misc{jeong2026trhi,
  title = {Temporally Decoupled Touch-Responsive Humanoid
           Interaction with Interruptible Motion Execution},
  author = {Jeong, Taemoon and Ma, Junghyeon and Kim, Chanwoo
            and Min, Junha and Bang, Yunseong and Park, Jeongeun
            and Choi, Sungjoon and Park, Kyungseo},
  year = {2026},
  note = {Manuscript}
}