Murad Dawood

Dr.

Murad Dawood

Alumni

Contact:

Room:Room 2.108Tel.:+49 228 73-69206Email:dawood_at_cs.uni-bonn.de

Research Interest:

  • Safe Reinforcement Learning
  • Multi-Agent Reinforcement Learning
  • Model Predictive Control

Links:

Research Areas:

My Publications:

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling

Murad Dawood, Usama Siddiquie, Shahram Khorshidi, Maren Bennewitz

Learning for Dynamics & Control Conference (L4DC), 2026

Pre-PrintCode
Predictive Safety in Reinforcement Learning From MPC-Guidance to Learned Regulators

Predictive Safety in Reinforcement Learning From MPC-Guidance to Learned Regulators

Murad Dawood

University of Bonn, 2026

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

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

Ahmed Shokry, Walid Gomaa, Tobias Zaenker, Murad Dawood, Rohit Menon, Shady A. Maged, Mohammed I. Awad, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Pre-PrintCode
Physically-Consistent Parameter Identification of Robots in Contact

Physically-Consistent Parameter Identification of Robots in Contact

Shahram Khorshidi, Murad Dawood, Benno Nederkorn, Maren Bennewitz, Majid Khadiv

IEEE International Conference on Robotics & Automation (ICRA), 2025

Pre-PrintPublicationCode
Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation

Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation

Murad Dawood, Sicong Pan, Nils Dengler, Siqi Zhou, Angela Schoellig, Maren Bennewitz

IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

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

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

Murad Dawood, Ahmed Shokry, Maren Bennewitz

Learning for Dynamics and Control (L4DC), 2025

Pre-PrintPublicationCode
Integrating One-Shot View Planning with a Single Next-Best View via Long-Tail Multiview Sampling

Integrating One-Shot View Planning with a Single Next-Best View via Long-Tail Multiview Sampling

Sicong Pan, Hao Hu, Hui Wei, Nils Dengler, Tobias Zaenker, Murad Dawood, Maren Bennewitz

IEEE Transactions on Robotics (T-RO), 2024

Pre-PrintPublicationCodeVideo
Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion

Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion

Shahram Khorshidi, Murad Dawood, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Pre-PrintPublication
Viewpoint Push Planning for Mapping of Unknown Confined Spaces

Viewpoint Push Planning for Mapping of Unknown Confined Spaces

Nils Dengler, Sicong Pan, Vamsi Kalagaturu, Rohit Menon, Murad Dawood, Maren Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Pre-PrintPublicationCodeVideo
Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control

Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control

Murad Dawood, Nils Dengler, Jorge de Heuvel, Maren Bennewitz

IEEE International Conference on Robotics & Automation (ICRA), 2023

Pre-PrintPublicationVideo

Mobile Robot NavigationReinforcement Learning