Call for Papers: IEEE Transactions on Haptics Special Issue on Tactile Sensing in Dexterous Manipulation
Overview
Guest editors invite submissions on tactile sensing and robot learning by March 15, 2027, following a new study showing tactile cues boost imitation learning success to 78.9%.
Generated from attributed reports · Updated 3 days ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: controlled real
“g. This paper presents a controlled real-robot study that compares physically interpretable tactile signals using the LeRobot platform, enhanced with our visuo-tactile perception system. From the same tactile stream, we derive tactile RGB images, normal/depth maps, and marker-flow fields, representing contact appearance, geometry, and tangential deformation, respectively. Using identical task demonstrations and the s”
Exact source · revision 1Source owner not reported
Reported quantity · Reported success rate: 57.8 percent · reported trials · Differing source assertions
“ame policy backbone, we evaluate the individual and combined contributions of these tactile cues. We further compare tactile encoders and visuo-tactile fusion strategies. Evaluation across 720 real-robot trials yields four key findings: (1) tactile perception substantially improves the overall success rate from 57.8% to 78.9%, although its contribution varies across task stages; (2) marker flow is the most effective”
Exact source · revision 1Source owner not reported
Reported quantity · Reported success rate: 78.9 percent · reported trials · Differing source assertions
“ame policy backbone, we evaluate the individual and combined contributions of these tactile cues. We further compare tactile encoders and visuo-tactile fusion strategies. Evaluation across 720 real-robot trials yields four key findings: (1) tactile perception substantially improves the overall success rate from 57.8% to 78.9%, although its contribution varies across task stages; (2) marker flow is the most effective”
Exact source · revision 1Source owner not reported
Reported quantity · Reported success rate: 74.4 percent · reported trials · Differing source assertions
“individual cue, achieving a success rate of 74.4% and playing a particularly important role in regulating established contact; (3) cue-factorized encoding consistently improves performance, highlighting that different physical cues require tailored processing techniques; and (4) although the effectiveness of tactile fusion is task-dependent, cross-attention offers a lightweight solution with performance comparable to”
Exact source · revision 1Source owner not reported
Reported quantity · trials: 720 other · reported trials
“ame policy backbone, we evaluate the individual and combined contributions of these tactile cues. We further compare tactile encoders and visuo-tactile fusion strategies. Evaluation across 720 real-robot trials yields four key findings: (1) tactile perception substantially improves the overall success rate from 57.8% to 78.9%, although its contribution varies across task stages; (2) marker flow is the most effective”
Exact source · revision 1Source owner not reported
Developments
- 2026-11-06 00:02 UTC · 1 reportsCall for Papers: The Sense of Touch in Contact-Rich Dexterous Robot ManipulationHaozhi Qi — X Robotics：📢 Call for Papers. Excited to serve as a Guest Editor for the IEEE Transactions on Haptics Special Issue on The Sense of Touch in Contact-Rich Dexterous Robot Manipulation. We welcome work on tactile sensing, haptic teleoperation, robot learning, and contact-rich manipulation. 📅 Deadline: March 15, 2027 https://shorturl.at/QXBvR together with @wenzhenyuan382, Rebecca Friesen, Yasemin Bekiroglu, @yushe_1, and @linshaonju
- 2026-11-05 05:00 UTC · 1 reportsWhich Physical Tactile Cues Matter for Contact-Rich Imitation Learning? A Real-RarXiv Robotics — research abstracts：Which Physical Tactile Cues Matter for Contact-Rich Imitation Learning? A Controlled Real-Robot Study
Report timeline
Follow attributed reports and material updates.
- Haozhi Qi — X Robotics📢 Call for Papers. Excited to serve as a Guest Editor for the IEEE Transactions on Haptics Special Issue on The Sense of Touch in Contact-Rich Dexterous Robot Manipulation. We welcome work on tactile sensing, haptic teleoperation, robot learning, and contact-rich manipulation. 📅 Deadline: March 15, 2027 https://shorturl.at/QXBvR together with @wenzhenyuan382, Rebecca Friesen, Yasemin Bekiroglu, @yushe_1, and @linshaonju
📢 Call for Papers! Excited to serve as a Guest Editor for the IEEE Transactions on Haptics Special Issue on The Sense of Touch in Contact-Rich Dexterous Robot Manipulation! We welcome work on tactile sensing, haptic teleoperation, robot learning, and contact-rich manipulation. 📅 Deadline: March 15, 2027 https://shorturl.at/QXBvR together with @wenzhenyuan382, Rebecca Friesen, Yasemin Bekiroglu, @yushe_1, and @linshaonju.
- arXiv Robotics — research abstractsSignalWhich Physical Tactile Cues Matter for Contact-Rich Imitation Learning? A Controlled Real-Robot Study
This paper presents a controlled real-robot study using the LeRobot platform to evaluate which physical tactile cues contribute most to contact-rich imitation learning. By deriving tactile RGB images, normal/depth maps, and marker-flow fields from a single visuo-tactile stream, the authors compare individual and combined cue contributions across 720 trials. Key findings include: (1) tactile perception improves success rates from 57.8% to 78.9%; (2) marker flow is the most effective individual cue at 74.4% success; (3) cue-factorized encoding consistently outperforms uniform processing; and (4) cross-attention fusion offers a lightweight alternative comparable to pretrained encoders.
Event coverage history
Current attention 3·Peak within the comparable range 15（2026-11-06 01:00 UTC）·Change within the comparable range over 24 hours -68%
The trend compares participants observed continuously; its scope may be narrower than current attention totals. Hover or click to explore hourly observations, or use the left and right arrow keys.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).