Research Prototype·2026–Present
Study whether visual-inertial odometry systems can detect degradation, diagnose likely failure causes, and select recovery actions before localization failure.
- Contribution
- Health monitoring · Bayesian failure diagnosis · Navigation Health Index · Rule-based recovery policies
- Roadmap
- Integrate with OpenVINS or ORB-SLAM3
VIOSLAMSensor FusionRisk-Aware RoboticsAI
Planned·Planned
Explore uncertainty-gated measurement selection for visual-inertial estimation under blur, lighting change, and dynamic-scene contamination.
- Contribution
- Uncertainty gating · Feature-quality scoring · Consistency checks · Ablation studies
- Roadmap
- Create public repository
VIOSensor FusionUncertaintySLAM
Active·2026–Present
Investigate adaptive fusion of visual, inertial, and event-based sensing under perceptual degradation such as blur, low light, texture scarcity, and rapid motion.
- Contribution
- Uncertainty-aware fusion · ORB-SLAM3 EuRoC wrapper · ATE/RPE evaluation · Degradation-aware benchmarking
- Roadmap
- Complete real ORB-SLAM3 baseline runs
SLAMSensor FusionUncertaintyComputer VisionSimulation
Active·2025–Present
Develop and evaluate navigation methods that reason about map uncertainty, collision risk, returnability, and safe replanning in unknown environments.
- Contribution
- Risk-weighted planning · CVaR-style reasoning · Returnability constraints · STL/CBF-style safety monitoring
- Roadmap
- Report seeds and variance
NavigationPlanningRisk-Aware RoboticsSimulationAI
Active·2025–Present
Develop a research platform for vulnerable road-user trajectory prediction, interaction modelling, risk assessment, and intelligent intersection safety.
- Contribution
- Baseline trajectory prediction · ADE/FDE evaluation · Social interaction graphs · Time-to-collision utilities
- Roadmap
- Add public dataset loaders
Autonomous DrivingAIRisk-Aware RoboticsComputer VisionSimulation
Research Prototype·2026–Present
Explore how AI methods can support underwater optical communication reliability, channel adaptation, and communication-aware autonomy.
- Contribution
- Channel modelling · AI-assisted adaptation · Reliability scoring · Simulation-first evaluation
- Roadmap
- Create reproducible channel experiments
CommunicationsAISimulationSensor Fusion
In Progress·2026–Present
Build a semantic-perception project for sidewalk and urban delivery robots, focused on navigability, obstacles, crossings, and scene reliability.
- Contribution
- Semantic segmentation · Traversability maps · Overlay visualization · Failure-case annotation
- Roadmap
- Create repository
Semantic SegmentationComputer VisionNavigationAISimulation
Planned·Planned
Design a return-to-home planning prototype for UAVs that considers localization confidence, battery constraints, wind risk, and safe landing feasibility.
- Contribution
- Risk-aware planning · Returnability constraints · Synthetic UAV simulation · Localization-health triggers
- Roadmap
- Create simulator
UAVNavigationPlanningRisk-Aware RoboticsSimulation
Planned·Planned
Create a real-time semantic segmentation baseline for driving scenes with explicit reporting of latency, class-wise errors, and safety-relevant failure cases.
- Contribution
- Real-time segmentation · Latency profiling · Class-wise analysis · Qualitative failure gallery
- Roadmap
- Create repository
Semantic SegmentationComputer VisionAutonomous DrivingAI
Planned·Planned
Prototype a small neuromorphic robotics experiment using spiking neural networks for event-driven perception or reactive control.
- Contribution
- Spiking neural networks · Event-driven simulation · Spike raster visualization · Reactive-control baseline
- Roadmap
- Define first task
Neuromorphic ComputingAIRoboticsSimulation
Research Prototype·2025–Present
Use race simulation as a clean, explainable environment for modelling strategy, uncertainty, event timing, and reproducible experiments.
- Contribution
- Discrete-event simulation · Scenario modelling · Monte Carlo-style reasoning · Result visualization
- Roadmap
- Publish reproducible examples
SimulationAIPlanning
Research Prototype·2026–Present
Create a focused benchmark for comparing classical shortest-path planning with uncertainty-weighted navigation in controlled map scenarios.
- Contribution
- Grid-map simulation · Classical planner baselines · Uncertainty cost maps · Safety metric reporting
- Roadmap
- Add executable first benchmark
NavigationPlanningRisk-Aware RoboticsSimulation