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1. Mono-Sense Mono-Sense Public

   Tesla-inspired autonomous driving visualization using monocular camera perception — lane detection, 3D object placement, pedestrian pose estimation, and depth-based scene reconstruction rendered in…

   Jupyter Notebook 1

2. Reinforcement-Learning-for-Picking-Task Reinforcement-Learning-for-Picking-Task Public

   Deep reinforcement learning algorithms(A2C and Reinforce) for LunarLanderv2 and A3C for Kuka Pick and Place Manipulation Task

   Python

3. Hybrid-Push-Dynamics-Learning-Methods Hybrid-Push-Dynamics-Learning-Methods Public

   A comparative implementation and analysis of physics-based, neural network, and hybrid models for predicting object motion in robotic pushing tasks.

   Python

4. SfM-and-NeRF SfM-and-NeRF Public

   Forked from prithvi-raj-b/CV-SfM-and-NeRF

   3-D reconstruction using images by implementing Structure from Motion and Neural Radiance Fields

   Python

5. Imitation-Learning-Agent Imitation-Learning-Agent Public

   Imitation learning with BC-Transformer and Diffusion Policy for robotic stacking using the UR5e arm

   Shell

6. Deep-Visual-Inertial-Odometry Deep-Visual-Inertial-Odometry Public

   Deep visual-inertial odometry stack for UAVs: vision-only, AirIMU+AirIO, PRGFlow baselines, and EKF/cross-attention fusion on Blender-rendered trajectories.

   Python