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Anooshka Bajaj
Junior Data Scientist and ML Researcher specializing in Transformers, multimodal AI, and autonomy
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About
Autonomous robotics student who built an end-to-end ROS2 semantic goal navigation system as a solo course project, integrating CLIP-based vision-language understanding with SLAM Toolbox and Nav2 to execute natural-language commands in Gazebo/RViz. Also implemented and tuned an RRT planner from scratch in Python and uses Docker plus GitHub workflows for reproducible, tested robotics codebases.
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Key Strengths
- End-to-end ownership of a ROS2 semantic navigation project (sole contributor)
- Integrating VLMs (CLIP) with SLAM Toolbox and Nav2 for natural-language robot navigation
- ROS2 debugging using node/topic inspection to validate pub-sub connectivity
- Robustness improvements via confidence-thresholding for ambiguous commands
- Motion planning optimization by tuning RRT parameters for narrow passages
- Designing distributed robotic components communicating via ROS2 topics and TF frames
- Reproducible robotics development using Docker and GitHub CI workflows
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Experience
Education
Skills
Languages
Publications
2 publications
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