Exploring Proximity and Tactile Sensing for Robotic Manipulation

Pre-touch sensing, or sensing information about an object before contact, is an attractive modality for robot hands as it can allow a robot to anticipate and respond to a contact before it happens. In this work, we introduce ToFTouch, a multimodal tactile sensor combining three multizone (4$\times$4 resolution) time-of-flight sensors with an optics-based pressure sensing array. We mount this sensor on a parallel jaw gripper and demonstrate its utility on three distinct tasks: (i) pre-grasp adjustment, (ii) item extraction from clutter, and (iii) item insertion into tight spaces. For pre-grasp adjustment, ToF feedback reduced cycle time by 7.4$\%$ by enabling anticipatory gripper closure during approach. For extraction, ToF sensing enabled successful retrieval across all tested depth offsets ($\pm$2 cm) deviating from the nominal pick point, including conditions where baseline approaches failed, with standard deviations below 0.4 cm. For insertion into dense clutter, we explore the proximity and tactile information provided from ToFTouch during an insertion trajectory. The results demonstrate the utility of multizone ToF sensing in a manipulation environment.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.03489
Primary Topic
Robot Manipulation and Learning
Type
preprint
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preprint

Exploring Proximity and Tactile Sensing for Robotic Manipulation

Taşkın Padır, Nima Fazeli, Joshua Migdal, Eric T. Chang et al.
arXiv (Cornell University)
Robot Manipulation and Learning
preprint

Exploring Proximity and Tactile Sensing for Robotic Manipulation

Taşkın Padır, Nima Fazeli, Joshua Migdal, Eric T. Chang, Matei Ciocarlie, Mohamed Elnoor, Bianca Aumann, Thomas Liang, Zhanpeng He, Tye M. Brady
preprint en

Abstract

Pre-touch sensing, or sensing information about an object before contact, is an attractive modality for robot hands as it can allow a robot to anticipate and respond to a contact before it happens. In this work, we introduce ToFTouch, a multimodal tactile sensor combining three multizone (4$\times$4 resolution) time-of-flight sensors with an optics-based pressure sensing array. We mount this sensor on a parallel jaw gripper and demonstrate its utility on three distinct tasks: (i) pre-grasp adjustment, (ii) item extraction from clutter, and (iii) item insertion into tight spaces. For pre-grasp adjustment, ToF feedback reduced cycle time by 7.4$\%$ by enabling anticipatory gripper closure during approach. For extraction, ToF sensing enabled successful retrieval across all tested depth offsets ($\pm$2 cm) deviating from the nominal pick point, including conditions where baseline approaches failed, with standard deviations below 0.4 cm. For insertion into dense clutter, we explore the proximity and tactile information provided from ToFTouch during an insertion trajectory. The results demonstrate the utility of multizone ToF sensing in a manipulation environment.

arXiv (Cornell University)
Robot Manipulation and Learning
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Exploring Proximity and Tactile Sensing for Robotic Manipulation — Taşkın Padır, Nima Fazeli, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS