MSc Robotics & Intelligent Systems @ Nottingham Trent University | Robotics · Multi-Agent Systems · Computer Vision · Reinforcement Learning
Building intelligent autonomous robotic systems — from multi-UAV coordination and swarm optimisation to real-time perception, reinforcement learning, and cognitive robotic architectures combining vision-language reasoning with ROS2 control.
Currently working on: Multi-agent swarm coordination, robot learning, and real-time perception systems for autonomous robots
Open to: Robotics/AI internship roles and collaborations in autonomous systems, perception, sensor fusion, reinforcement learning, or swarm robotics
Ask me about: Swarm optimisation (PSO/GWO), reinforcement learning, computer vision, VLM/VLA systems, or ROS2-based autonomous robotics
📫 aditya.kapile2025@my.ntu.ac.uk · LinkedIn · Portfolio · Instagram
Accepted at TAROS 2026 · arXiv:2609.01731
Five-UAV coordination framework combining task allocation with reactive collision avoidance for disaster-response scenarios. Evaluated Genetic Algorithm and greedy allocation strategies across 120 stochastic Gazebo simulation episodes.
📄 Read the paper on arXiv
💻 View the source code
Five-UAV disaster-response coordination framework using Genetic Algorithm and greedy task allocation with reactive collision avoidance in Gazebo. Accepted at TAROS 2026.
Vision-Language-Action robotic manipulation pipeline connecting visual-language reasoning with robot actions.
Natural-language object navigation pipeline combining visual-language grounding with ROS2 Nav2 and SLAM for autonomous mobile robot navigation.
LLM reasoning + ROS2 control architecture for autonomous robotic navigation, achieving 80% navigation success.
GWO-based multi-drone formation control and trajectory optimisation with collision-free solutions.
Docker-based sandbox for secure AI/API code analysis, evaluated across 50+ workloads.
Multi-model machine learning classification pipeline achieving 98.25% accuracy.
- 🤖 Autonomous Robotics
- 🛩️ Multi-UAV & Swarm Robotics
- 🧠 Reinforcement Learning
- 👁️ Computer Vision & Perception
- 🗣️ Vision-Language Models
- 🔗 Vision-Language-Action Models
- 🎯 Multi-Agent Systems
- 🧬 Swarm Intelligence & Optimisation
- 🛰️ Sensor Fusion
- 🛠️ ROS2 & Gazebo