8 citations · 13 across the 8 of their papers we have counts for
8 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…
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…
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly, Dren Fazlija, Maryam Badar +9
State-of-the-art AI models largely lack an understanding of the cause-effect relationship that governs human understanding of the real world. Consequently, these models do not gene…
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent
W. Zai El Amri, L. Hermes, M. Schilling
Legged locomotion is widespread in nature and has inspired the design of current robots. The controller of these legged robots is often realized as one centralized instance. Howeve…