Scholar
Brendan Englot
Google Scholar ID: Nd6tX_kAAAAJ
Anson Wood Burchard Endowed Professor, Stevens Institute of Technology
Citations & Impact
Citations
7,535
H-index
28
i10-index
57
Publications
20
Co-authors
46
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 1. IROS 2025 papers:
- - "Opti-Acoustic Scene Reconstruction in Highly Turbid Underwater Environments" (led by Ivana Collado-Gonzalez)
- - "DRACo-SLAM2: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams with Object Graph Matching" (led by Yewei Huang)
- - "CVD-SfM: A Cross-View Deep Front-end Structure-from-Motion System for Sparse Localization in Multi-Altitude Scenes" (led by Yaxuan Li)
- 2. IEEE Robotics and Automation Letters paper: "Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles" (led by Xi Lin)
- 3. IEEE Journal of Oceanic Engineering paper: "Large-Scale Underwater 3D Mapping with a Stereo Pair of Imaging Sonars" (led by John McConnell)
Research Experience
- 1. Testing an ROV in Stevens' Davidson Laboratory tank.
- 2. Testing a custom-built mobile manipulator in the lab.
- 3. Acoustically mapping the pilings of Stevens' Hudson River pier with a custom-built BlueROV.
- 4. Bench-testing the Clearpath Jackal unmanned ground vehicle after a field experiment in Hoboken's Pier A Park.
Background
- Dr. Brendan Englot leads the Robust Field Autonomy Lab, which focuses on designing perception, navigation, and decision-making algorithms to help mobile robots achieve robust autonomy in complex environments. Research goals include improving the reliability of autonomous navigation for unmanned underwater, surface, ground, and aerial vehicles subjected to noise-corrupted and drifting sensors, bandwidth-limited communications, incomplete knowledge of the environment, and tasks that require interaction with surrounding objects and structures.
