collaborators

5 papers

cs.RO2026

Implicit-Behavior Coordination from Unlabeled Sub-Task Demonstrations for Rearrangement Tasks

Ahmed Shokry, Usama Ahmed Siddiquie, Sicong Pan +1

Long-horizon robotic rearrangement tasks are often treated as skill sequencing problems, requiring predefined skills, skill labels, or boundaries, and task-specific switching logic…

stat.ML2026

Self-Organized Conformal Prediction: Reducing Regional Coverage Gaps with Unsupervised Group Discovery

Louis Berthier, Ahmed Shokry, Maxime Moreaud +2

Conformal prediction guarantees marginal coverage, but pooled calibration averages over heterogeneous regions and can mask regional undercoverage in safety-critical subgroups. We i…

cs.RO2025

Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks

Ahmed Shokry, Walid Gomaa, Tobias Zaenker +5

Autonomous assembly is an essential capability for industrial and service robots, with Peg-in-Hole (PiH) insertion being one of the core tasks. However, PiH assembly in unknown env…

stat.ML2025

torchsom: The Reference PyTorch Library for Self-Organizing Maps

Louis Berthier, Ahmed Shokry, Maxime Moreaud +2

This paper introduces torchsom, an open-source Python library that provides a reference implementation of the Self-Organizing Map (SOM) in PyTorch. This package offers three main f…

cs.RO2025

A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks

Murad Dawood, Ahmed Shokry, Maren Bennewitz

Reinforcement learning (RL) has been successfully applied to a variety of robotics applications, where it outperforms classical methods. However, the safety aspect of RL and the tr…