Browsing by Author "Maiti, Tapas Kumar"

Now showing items 1-6 of 6

    • Graph Neural Network Based Semantic Mapping and Classification of Dataset for Robotics Applications 

      Sharma, Devesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In the field of Robotics, deriving meaningful insights from spatial information ispivotal. Our objective was to work with 2D dataset as 3D datasets are relativelymore time consuming as our target is to objective was to do ...

    • Neural Network Architectures for Integrated Circuits 

      Nagrani, Khyati (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This thesis presents the architecture design and implementation of neural networks(NNs) for integrated circuit design. The architecture consists of adders,multipliers, and rectified linear unit (ReLU) blocks. Three ...

    • Position Estimation of Intelligent Artificial Systems Using 3D Point Cloud 

      Patel, Vraj (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The three-dimensional reality collected by various sensors such as LiDAR scanners,depth cameras and stereo cameras, is represented by point cloud data. Thecapacity of point clouds to provide rich geometric information about ...

    • Q-Learning Accelerator Chip Design for Robot Path Planning 

      Advani, Harsh Shekhar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      A variety of frameworks and set of tools used for creating complex and difficult behaviours are provided by reinforcement learning in robotics. Q-learning is one of the most popularly used algorithms in reinforcement ...

    • Semantic Segmentation Based Object Detection for Autonomous Driving 

      Prajapati, Harsh (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      This research focuses on solving the autonomous driving problem which is necessaryto fulfill the increasing demand of autonomous systems in today�s world.The key aspect in addressing this challenge is the real-time ...

    • VLSI Implementation of Neural Network Driven Augmented FSM 

      Patel, Jimmy Kirtikumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      This thesis reports the VLSI implementation of an NN (Neural Network) based emergent behavior model for high-speed robot control. Augmented FSM (Finite- State Machine) is considered to implement the emergent behavior. We ...