IIITM Gwalior Course Structure and Conduct
ABV-IIITM Gwalior
physycs
Fusion of probabilistic A* algorithm and fuzzy inferencesystem for robotic path planning
Motion Planning for Multiple Autonomous Vehicles, PhD Thesis Defense Presentation
Motion Planning for Multiple Autonomous Vehicles: Chapter 8a - Reaching Before Deadline
Motion Planning for Multiple Autonomous Vehicles: Chapter 2 - Literature Review
Motion Planning for Multiple Autonomous Vehicles: Chapter 4b - Dynamic Distributed Lanes using Graph Search
Motion Planning for Multiple Autonomous Vehicles: Chapter 9 - Conclusions
Motion Planning for Multiple Autonomous Vehicles: Results
Motion Planning for Multiple Autonomous Vehicles: Chapter 1 - Introduction
Robot Motion Planning: Approaches and Research Issues
Motion Planning for Multiple Autonomous Vehicles: Chapter 7a - Semi Autonomous ITS
Motion Planning for Multiple Autonomous Vehicles: Chapter 5a - Fuzzy Logic
Multi-robot path planning using co-evolutionary genetic programming
Robotic path planning in static environment using hierarchical multi-neuron heuristic search and probability based fitness
Multi-vehicle planning using RRT-connect
Real Life Applications of Soft Computing
Motion Planning of Autonomous Vehicles in a Non-Autonomous Vehicle Environment without Speed Lanes,
Multi-Level Planning for Semi-Autonomous Vehicles in Traffic Scenarios based on Separation Maximization