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