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Claudio Coppola

6 accepted papers

2026

Haptic Stiffness Perception Using Hand Exoskeletons in Tactile Robotic Telemanipulation

ICRA 2026poster

Robotic telemanipulation—the human-guided manipulation of remote objects—plays a pivotal role in several applications, from healthcare to operations in harsh environments. While visual feedback from cameras can provide valuable information to the human operator, haptic feedback is essential for acce…

2025

Haptic Stiffness Perception Using Hand Exoskeletons in Tactile Robotic Telemanipulation

RA-L 2025

Robotic telemanipulation is central in many applications, from healthcare to harsh environments. While visual feedback from cameras can provide valuable information to the human operator, haptic feedback offers insight into certain object properties - such as stiffness - that vision alone cannot pro

Cited by 0SourceScholar
2024

DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks

IROS 2024poster

Effective execution of long-horizon tasks with dexterous robotic hands remains a significant challenge in real-world problems. While learning from human demonstrations has shown encouraging results, they require extensive data collection for training. Hence, decomposing long-horizon tasks into reusa…

Cited by 10SourceScholar
2023

Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin

ICRA 2023poster

Distributed sensor arrays capable of detecting multiple spatially distributed stimuli are considered an important element in the realisation of exteroceptive and proprioceptive soft robots. This paper expands upon the previously presented idea of decoupling the measurements of pressure and location…

Cited by 8SourceScholar
2021

Tactile Slip Detection in the Wild Leveraging Distributed Sensing of both Normal and Shear Forces

IROS 2021poster

The ability to detect that a grasped object is slipping from the robot gripper is a crucial skill for autonomous robotic manipulation. However, current solutions for automatic slip detection do not perform well in real-world unstructured settings, in which a wide variety of gripper-object interactio…

Cited by 13SourceScholar
2016

Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data

IROS 2016poster

Social activity based on body motion is a key feature for non-verbal and physical behavior defined as function for communicative signal and social interaction between individuals. Social activity recognition is important to study human-human communication and also human-robot interaction. Based on t…

Cited by 58SourceScholar