activity
20182026
most citedVibro-Sense: Robust Vibration-based Impulse Response Localization and Trajectory Tracking for Robotic Hands

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.RO20261 cited

Vibro-Sense: Robust Vibration-based Impulse Response Localization and Trajectory Tracking for Robotic Hands

Wadhah Zai El Amri, Nicolás Navarro-Guerrero

Rich contact perception is crucial for robotic manipulation, yet traditional tactile skins remain expensive and complex to integrate. This paper presents a scalable alternative: hi…

cs.CV2025

Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors

Ziteng Li, Malte Kuhlmann, Ilana Nisky +1

Compliance is a critical parameter for describing objects in engineering, agriculture, and biomedical applications. Traditional compliance detection methods are limited by their la…

cs.RO2025

Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics

Josip Josifovski, Shangding Gu, Mohammadhossein Malmir +5

Domain randomization has emerged as a fundamental technique in reinforcement learning (RL) to facilitate the transfer of policies from simulation to real-world robotic applications…

cs.RO2024

ACROSS: A Deformation-Based Cross-Modal Representation for Robotic Tactile Perception

Wadhah Zai El Amri, Malte Kuhlmann, Nicolás Navarro-Guerrero

Tactile perception is essential for human interaction with the environment and is becoming increasingly crucial in robotics. Tactile sensors like the BioTac mimic human fingertips…

cs.RO2024

Transferring Tactile Data Across Sensors

Wadhah Zai El Amri, Malte Kuhlmann, Nicolás Navarro-Guerrero

Tactile perception is essential for human interaction with the environment and is becoming increasingly crucial in robotics. Tactile sensors like the BioTac mimic human fingertips…

cs.NE2018

Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks

Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg +1

Most learning algorithms require the practitioner to manually set the values of many hyperparameters before the learning process can begin. However, with modern algorithms, the eva…