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20202026
most citedOn Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach

18 citations · 18 across the 3 of their papers we have counts for

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6 papers · 1 filter

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.RO20241 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.RO202421 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.RO202018 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…