154 citations · 360 across the 16 of their papers we have counts for
16 papers
SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors
Wadhah Zai El Amri, Nicolás Navarro-Guerrero
Training machine learning models for robotic tactile sensing requires vast amounts of data, yet obtaining realistic interaction data remains a challenge due to physical complexity…
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…
Do Robots Really Need Anthropomorphic Hands? A Comparison of Human and Robotic Hands
Alexander Fabisch, Wadhah Zai El Amri, Chandandeep Singh +1
Human manipulation skills represent a pinnacle of voluntary motor functions, requiring the coordination of many degrees of freedom and the processing of high-dimensional sensor inp…
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…
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…
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…
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…
Optimizing BioTac Simulation for Realistic Tactile Perception
Wadhah Zai El Amri, Nicolás Navarro-Guerrero
Tactile sensing presents a promising opportunity for enhancing the interaction capabilities of today's robots. BioTac is a commonly used tactile sensor that enables robots to perce…
Continual Domain Randomization
Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir +3
Domain Randomization (DR) is commonly used for sim2real transfer of reinforcement learning (RL) policies in robotics. Most DR approaches require a simulator with a fixed set of tun…
A Biomimetic Fingerprint for Robotic Tactile Sensing
Oscar Alberto Juiña Quilachamín, Nicolás Navarro-Guerrero
Tactile sensors have been developed since the early '70s and have greatly improved, but there are still no widely adopted solutions. Various technologies, such as capacitive, piezo…
Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks
Daniel Harnack, Julie Pivin-Bachler, Nicolás Navarro-Guerrero
Reinforcement learning (RL) has become widely adopted in robot control. Despite many successes, one major persisting problem can be very low data efficiency. One solution is intera…
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann +3
Randomization is currently a widely used approach in Sim2Real transfer for data-driven learning algorithms in robotics. Still, most Sim2Real studies report results for a specific r…
Visuo-Haptic Object Perception for Robots: An Overview
Nicolás Navarro-Guerrero, Sibel Toprak, Josip Josifovski +1
The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop solutions with a similar proficiency in autonomous robots. Wh…
AU Dataset for Visuo-Haptic Object Recognition for Robots
Lasse Emil R. Bonner, Daniel Daugaard Buhl, Kristian Kristensen +1
Multimodal object recognition is still an emerging field. Thus, publicly available datasets are still rare and of small size. This dataset was developed to help fill this void and…
Survey on reinforcement learning for language processing
Victor Uc-Cetina, Nicolas Navarro-Guerrero, Anabel Martin-Gonzalez +2
In recent years some researchers have explored the use of reinforcement learning (RL) algorithms as key components in the solution of various natural language processing tasks. For…
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…