Name: Sapan Agrawal
Type: User
Company: Catepillar Inc. (CAT Robotics)
Bio: I am a Robotics Graduate student at Worcester Polytechnic Institute, enthusiast about Robot Dynamics, Controls, Motion Planning aspects of robotics.
Location: San Francisco
Blog: https://sapan-ostic.github.io/
Sapan Agrawal's Projects
Official Repository for Argoverse Motion Forecasting Baselines
Intern project at Biorobotics Institue, SSSA, Pisa (Italy) which exploits the research in the fields of Graphene based Piezoresistive Sensor with its application on Mckkinben Pneumatic Muscles based Robotic Arm.
Autoware - the world's leading open-source software project for autonomous driving
A curated list of awesome Deep Learning tutorials, projects and communities.
Assignments for Machine Learning & Data Assimilation, Winter 2023
Homework for Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa
Controls Course Project: Implementing PID (Stanley Control for Lateral Control) and Model Predictive Controller in Carla Simulator. The backbon code interfacing with the Carla was used from the Coursera: Introduction to Self-Driving Cars Course.
Repository contains my solutions to homework projects for CS525: Reinforcement Learning Course at Worcester Polytechnic Institute.
The repository contains my work related to the course CS 541: Deep Learning at WPI.
🌀 Stanford CS 228 - Probabilistic Graphical Models
Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset
RBE 501 Robot Dynamics Project: Impedence Control for MTM of da Vinci Research Kit in AMBF Simulator.
COIN-OR Interior Point Optimizer IPOPT
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
URDF model for Gazebo integrated with ROS
Personalization of Assistive Driving in Carla Simulator
This repository contains my work in improving my C++ coding skills with problems from various courses and platforms.
Python sample codes for robotics algorithms.
Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles
cuda/pytorch/openai/fake screen setup tutorial