Robot Learning · Physical AI · Computer Vision · Robotics
I am a Ph.D. researcher at Drexel University working on intelligent robotic systems, robot learning, and AI-driven perception. My research focuses on robotic manipulation, multimodal sensing, and autonomous inspection using vision-language models, imitation learning, reinforcement learning, and sim-to-real transfer.
I develop and investigate robotic systems that use visual and sensor feedback to improve physical interaction, decision-making, and measurement reliability.
I am a Ph.D. researcher at Drexel University working on intelligent robotic systems, robot learning, and AI-driven perception. My research focuses on robotic manipulation, multimodal sensing, and autonomous inspection using vision-language models, imitation learning, reinforcement learning, and sim-to-real transfer.
I develop and investigate robotic systems that use visual and sensor feedback to improve physical interaction, decision-making, and measurement reliability.
Imitation Learning · Reinforcement Learning · Sim-to-Real Transfer
Contact-Rich Manipulation · Force Feedback · Sensor-Guided Control
Object Detection · Instance Segmentation · 3D Reconstruction · Gaussian Splatting
Multimodal Reasoning · Scene Understanding · Contact-Aware Planning
NVIDIA Isaac Lab · Isaac Sim · MuJoCo · ROS 2
Nondestructive Evaluation · Ultrasonic Testing · Multimodal Sensing
Robot Learning · Reinforcement Learning · Imitation Learning · Sim-to-Real
Developing learning-based approaches for robotic ultrasonic inspection using force-sensor feedback. Investigating force-guided contact-control policies and sim-to-real transfer using MuJoCo, NVIDIA Isaac Sim, and Isaac Lab.
Technologies
Robotic Perception · Multimodal AI · Computer Vision · Autonomous Inspection
Developed a vision-language-guided robotic inspection framework using Grounding DINO, SAM 2, CLIP, and Qwen2.5-VL-32B for material identification and contact-aware inspection planning.
Achieved 90.3% material-identification accuracy, 90.5% proper-contact selection, and an F1 score of 0.867 in the evaluated tasks.
Technologies
Nguyen, D. H. N., Chougule, P., Holgate, A., Cruz Rios, F., & Ebrahimkhanlou, A. (2026).
Journal of Building Engineering
DOI: 10.1016/j.jobe.2026.117547 ↗Chougule, P., Abraham, D., Farnam, Y., & Ebrahimkhanlou, A. (2026).
Proceedings of SPIE, 13952, 139520L
DOI: 10.1117/12.3093819 ↗Chougule, P., et al. (2026).
Expert Systems with Applications
I am a Ph.D. researcher at Drexel University specializing in Robotics, Physical AI, Computer Vision, and Robot Learning.
My research investigates how robots can perceive their environments, interact with physical objects, and use sensor feedback to make intelligent decisions. I develop robotic inspection systems using vision-language models, multimodal perception, force sensing, and autonomous robotic manipulation.
My ongoing research explores imitation learning, reinforcement learning, and sim-to-real transfer for force-guided robotic inspection using MuJoCo, NVIDIA Isaac Sim, and Isaac Lab.
Previously, I earned an M.S. in Robotics and Autonomous Systems from Arizona State University and a B.Tech. in Mechanical Engineering from VJTI Mumbai.
Research Interests: Robot Learning, Embodied AI, Physical AI, Reinforcement Learning, Imitation Learning, Robotic Manipulation, Computer Vision, Multimodal Perception, and Autonomous Robotics.
I welcome research collaborations and internship opportunities in robot learning, Physical AI, computer vision, and robotics.