Bio-inspired navigation systems
Survey of neuromorphic strategies for robust navigation in GPS-denied environments.
Specializing in Autonomous Navigation, Bio-inspired Swarm Robotics, and Medical Systems.
Researching robust navigation frameworks for GPS-denied environments through sensor fusion, neuromorphic approaches, and advanced simulation.
Research Collection
Snapshots from my published and in-progress papers. The carousel advances automatically every 15 seconds with a smooth crossfade and ambient glow.
Profile
I am a Graduate Research Assistant and MEng candidate in Mechanical Engineering (Thesis) at the Beijing Institute of Technology. I work on bio-inspired swarm robotics and autonomous navigation frameworks designed for complex, GPS-denied environments.
Research focus. Bio-robotics, animal-inspired navigation, medical robots, and calcium imaging. I develop sensor fusion pipelines (IMU, LiDAR, vision), SLAM/navigation stacks in ROS/Gazebo, and neuromorphic processing for robust autonomy.
Open to collaborations. Interested in joint work on navigation, autonomous systems, and bio-inspired robotics. Prospective students or collaborators: please email with a short note on your project interests.
Highlights
Leading a robot navigation and positioning system project at BIT, focusing on dynamic obstacles, unstructured terrain, and adaptive sensing.
Architecting a smart wheelchair walker with a cloud platform for real-time monitoring and remote assistance.
Started Graduate Research Assistantship at BIT; working on bio-inspired swarm robotics and GPS-denied navigation.
Scholarly Work
Selected journal articles and conference papers in robotics and navigation.
Survey of neuromorphic strategies for robust navigation in GPS-denied environments.
Research into AI resilience in high-radiation environments for space exploration.
Exploring low-power high-efficiency architectures for robot navigation stacks.
Multi-resolution relocalization for autonomous exploration in extreme environments.
Multimodal fusion with neuromorphic processing for subaquatic environments.
Adaptive hybrid navigation methods for tethered robots using soft computing techniques.
Intellectual Property
Novel sensor fusion designed for high-noise GPS-denied environments.
Service
Featured Work
Practical implementations of autonomous systems and bio-inspired robotics.
Navigating unstructured terrain with dynamic obstacles using low-cost sensors.
Designed a robust ROS-based framework using adaptive particle filters and local costmap layering.
Improved navigation reliability by 40% in GPS-denied, high-noise environments.
Lack of real-time monitoring and remote assistance for elderly mobility devices.
Built an IoT-enabled walker coupled with a cloud dashboard for family monitoring.
Enabled proactive care and emergency response through real-time telemetry.
Maintaining precise environmental conditions for sensitive biological samples.
Engineered a closed-loop PID control system on Arduino with custom sensor integration.
Achieved +/- 0.1°C temperature stability for critical research labs.
Journey
2024 – Present
Bio-inspired swarm robotics; autonomous navigation and sensor fusion in GPS-denied environments.
2023 – 2026
Thesis on bio-robotics and autonomous navigation frameworks.
2019 – 2023
CGPA 3.514/4.0 (Rank: 2/61); focus on mechatronics, control, and embedded systems.
2023 – Present
Managing client relationships and technical sales alongside graduate studies.
2017 – 2019
Worked on communications systems engineering and deployment.
Contact
Bio‑Robotics Researcher & Autonomous Navigation Engineer
School of Mechatronical Engineering,
Beijing Institute of Technology, Beijing 100081, China
chandan@bit.edu.cn