Samir A. Rawashdeh

About

Samir A. Rawashdeh is a robotics and computer vision researcher whose work centers on autonomous mobile robots, visual perception, and embedded AI systems. He has made significant contributions to making intelligent robotic systems more practical and deployable in real-world conditions, with a particular focus on resource-constrained platforms like self-driving vehicles and mobile robots. Rawashdeh's most-cited work, "A Single-Stream Segmentation and Depth Prediction CNN for Autonomous Driving" (2020, 42 citations), exemplifies his expertise in multitask deep learning, developing efficient convolutional neural network architectures that reduce computational overhead without sacrificing performance. His 2018 paper on lightweight visual odometry (37 citations) further demonstrates his commitment to practical, low-cost navigation solutions using stereo and RGB-D sensors. Beyond perception, his research spans object tracking, robotic grasping with tactile sensing, event-camera-based vision, and autonomous convoy security under jamming attacks — reflecting a remarkably broad yet cohesive research agenda. He has also addressed the critical challenge of robotic perception under low-light conditions, proposing image enhancement pipelines that improve camera-based navigation at night. With over 150 cumulative citations, Rawashdeh's work offers valuable tools for roboticists seeking to bridge the gap between advanced AI algorithms and embedded, real-world deployment.

Research Focus

Key Achievements

Top Papers

1. 1
   A Single-Stream Segmentation and Depth Prediction CNN for Autonomous Driving

   42 citations · 2020
2. 2
   Lightweight Visual Odometry for Autonomous Mobile Robots

   37 citations · 2018
3. 3
   A Combined Vision-Based Multiple Object Tracking and Visual Odometry System

   23 citations · 2019
4. 4
   Evaluation of Image Enhancement Techniques for Vision-Based Navigation under Low Illumination

   17 citations · 2019
5. 5
   Jam Mitigation for Autonomous Convoys via Behavior-Based Robotics

   9 citations · 2022
6. 6
   A Simple Robotic Fingertip Sensor Using Imaging and Shallow Neural Networks

   9 citations · 2019
7. 7
   A Multi-Cluster Tracking Algorithm with an Event Camera

   6 citations · 2019
8. 8
   A Comparative Study of Different CNN Encoders for Monocular Depth Prediction

   5 citations · 2019
9. 9
   A Humanoid Robot Object Perception Approach Using Depth Images

   3 citations · 2019
10. 10
    Image Preprocessing for Stereoscopic Visual Odometry at Night

    2 citations · 2018

Key Collaborators

Contact & Links