Bio-inspired Navigation Systems
Translating biological strategies into robust navigation behaviors.
Research Vision
Developing autonomous systems that bridge biological intelligence with robotic embodiment through computational modeling, hardware-software co-design, and decentralized AI—creating sustainable, scalable solutions for real-world challenges in unstructured environments.
Core Research Domains
Swarm Robotics & Collective Intelligence
Designing decentralized coordination frameworks for scalable autonomy.
Medical & Assistive Robotics
Building human-centered platforms that extend mobility and care.
Sensor Fusion & Edge AI
Integrating heterogeneous sensing with lightweight, deployable AI.
Energy-Efficient Autonomous Systems
Optimizing control, perception, and actuation for constrained hardware.
Featured Research Projects
FormicaBot: Bio-inspired Swarm Robotics Platform
Holistic framework closing the simulation-to-reality gap in swarm robotics through biological validation and hardware-software co-design.
- Dual-modality virtual pheromone system (optical/thermal) for perturbation-resilient communication
- Stochastic PDE modeling of ant foraging under environmental stressors
- Edge-AI pipeline with quantized MobileNetV3 for decentralized target recognition
- Bio-inspired hexapedal locomotion achieving ≤1.2W power consumption
Outcomes: 89% foraging efficiency in complex navigation • Patent pending • Published in Nature Reviews Bioengineering and Sensors.
Robust Navigation Framework for GPS-Denied Environments
Autonomous operations in unstructured, GPS-denied scenarios through resilient sensor fusion and adaptive planning.
- Multi-modal sensor fusion (LiDAR-IMU-Vision) with Extended Kalman Filter
- Bio-inspired Ant Colony Optimization integrated with deep Q-learning
- ROS 2 and Gazebo simulation stack with realistic perturbation modeling
- Real-time SLAM and motion planning within dynamic environments
Performance: Validated in cluttered indoor/outdoor environments with successful obstacle avoidance under sensor degradation.
Smart Wheelchair & Cloud-Assistive System
IoT-enabled assistive technology integrating real-time monitoring, cloud analytics, and human-robot interaction.
- Cloud-connected wheelchair platform capturing real-time telemetry
- Adaptive control interfaces supporting diverse user capabilities
- Predictive analytics for preventative maintenance and usage optimization
- Secure REST API architecture enabling remote assistance features
Impact: Enhances independence for mobility-impaired users while offering scalable monitoring for healthcare providers.
Aerospace Sensor Systems & Reliability Analysis
Wearable cardiorespiratory monitoring and reliability evaluation for aerospace platforms.
- Designed sensor fusion algorithms for cognitive workload assessment
- Implemented performance degradation modeling for aerospace engine diagnostics
- Awarded Best Paper at IEEE IATMSI 2022 for reliability framework
- Published in multiple aerospace engineering journals
Technical Infrastructure
Robotics & AI Stack
Core Competencies
Robotics_Frameworks = ["ROS/ROS2", "Gazebo", "Webots", "Co-simulation"]
Navigation_Algorithms = ["SLAM", "Sensor Fusion", "ACO", "Deep RL", "Motion Planning"]
AI_ML = ["PyTorch", "TensorFlow", "Reinforcement Learning", "CNN Optimization"]
Simulation = ["Physics-based Modeling", "Multi-agent Systems", "Perturbation Analysis"]
Hardware & Embedded Systems
System Integration Expertise
Sensing = ["LiDAR", "RGB-D", "IMU", "Custom Sensor Design"]
Computation = ["NVIDIA Jetson", "Embedded AI", "Edge Processing"]
Actuation = ["Dynamixel Servos", "Hexapedal Locomotion", "Control Systems"]
Fabrication = ["3D Printing", "PCB Design", "Prototype Development"]
Research Output
High-Impact Publications
- Nature Reviews Bioengineering (2025) — Bio-inspired navigation systems for robots
- Sensors (2025) — Marine-inspired multimodal sensor fusion for autonomous navigation
- IEEE IATMSI (2022) — Best Paper Award for reliability evaluation framework
- Multiple manuscripts under review in leading robotics journals
Intellectual Property
- Patent pending — Bio-inspired fusion navigation framework for autonomous robots
- Open source release — Complete FormicaBot hardware/software framework
Academic Trajectory
2025–2029
PhD in Mechatronical Engineering
Beijing Institute of Technology
2023–2025
MEng in Mechanical Engineering
Beijing Institute of Technology · First Class
2019–2023
BEng in Mechatronics Engineering
Hebei University of Technology · Rank: 2 / 61
Honors
CSC Scholarship · Best Paper Award · International Student Leadership
Contact & Collaboration
Open for PhD research collaborations, research internships, and academic discourse.
- Email: chandan@bit.edu.cn
- GitHub: github.com/Chandan118
- LinkedIn: linkedin.com/in/chandansheikder
- Google Scholar: Google Scholar Profile
- ResearchGate: ResearchGate Profile
- ORCID: 0000-0003-1459-8747
This portfolio showcases ongoing research at the intersection of biological intelligence and autonomous systems, translating nature’s principles into engineering innovation.
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