activity
20202026
most citedRACP: Risk-Aware Contingency Planning with Multi-Modal Predictions

21 citations · 40 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Active Interaction-Aware Model Predictive Path Integral via Ego-Conditioned Generative Predictions

Khaled A. Mustafa, Mohamed-Khalil Bouzidi, Christian Schlauch +4

Dense traffic is inherently interactive. The ego vehicle and surrounding agents continuously influence each other's reactions, making "what-if" reasoning essential for safe and eff…

cs.RO2025

Dynamic Risk-Aware MPPI for Mobile Robots in Crowds via Efficient Monte Carlo Approximations

Elia Trevisan, Khaled A. Mustafa, Godert Notten +2

Deploying mobile robots safely among humans requires the motion planner to account for the uncertainty in the other agents' predicted trajectories. This remains challenging in trad…

cs.RO2024★ 1 cited

Predictability Awareness for Efficient and Robust Multi-Agent Coordination

Roman Chiva Gil, Daniel Jarne Ornia, Khaled A. Mustafa +1

To safely and efficiently solve motion planning problems in multi-agent settings, most approaches attempt to solve a joint optimization that explicitly accounts for the responses t…

cs.RO2024★ 21 cited

RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions

Khaled A. Mustafa, Daniel Jarne Ornia, Jens Kober +1

For an autonomous vehicle to operate reliably within real-world traffic scenarios, it is imperative to assess the repercussions of its prospective actions by anticipating the uncer…

cs.RO2023

Probabilistic Risk Assessment for Chance-Constrained Collision Avoidance in Uncertain Dynamic Environments

Khaled A. Mustafa, Oscar de Groot, Xinwei Wang +2

Balancing safety and efficiency when planning in crowded scenarios with uncertain dynamics is challenging where it is imperative to accomplish the robot's mission without incurring…

cs.RO2020★ 18 cited

On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach

Nicolò Botteghi, Beril Sirmacek, Khaled A. A. Mustafa +2

We present a map-less path planning algorithm based on Deep Reinforcement Learning (DRL) for mobile robots navigating in unknown environment that only relies on 40-dimensional raw…