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Ekansh Sharma

Passionate robotics enthusiast and researcher. Open-source contributor to projects focused on robotics. Excited to collaborate and contribute to innovative developments in the field. Let's shape the future together!

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📫 If you'd like to discuss any exciting robotics projects, feel free to reach out to me. Let's connect and collaborate!

Ekansh Sharma's Projects

rfb_p2 icon rfb_p2

Contains the project "Tennis Ball Tracking" w.r.t "ROS For Beginners: Basics, Motion and OpenCV" course offered at Udemy

rlbench_sdp icon rlbench_sdp

This repository is a part of our Software Development Project course at Hoschule Bonn-Rhein-Sieg.

robosuite icon robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

robot-learning icon robot-learning

Contains solution of robot learning course assignments WS2023-24

ros2_message_converter icon ros2_message_converter

Ros2_message_converter is a lightweight ROS2 package and Python library to convert from Python dictionaries and JSON messages to rclpy messages, and vice versa

rse_p1_udacity icon rse_p1_udacity

Contains the project "Build My World" w.r.t Robotics Software Nanodegree Program offered by Udacity

rse_p2_udacity icon rse_p2_udacity

Contains the project Go Chase it w.r.t Robotics Software Engineer Nanodegree Program offered by Udacity

rse_p4_udacity icon rse_p4_udacity

Contains the project "Where Am I" w.r.t Robotics Software Nanodegree Program offered by Udacity

rse_p5_udacity icon rse_p5_udacity

Contains the project "Map My World" w.r.t Robotics Software Nanodegree Program offered by Udacity

rse_p7_udacity icon rse_p7_udacity

Contains the project "Home Service Robot" w.r.t Robotics Software Nanodegree Program offered by Udacity

rulebook icon rulebook

The Rulebook for the RoboCup@Work league.

sim2real2sim icon sim2real2sim

Sim2Real2Sim: Bridging the Gap Between Simulation and Real-World in Flexible Object Manipulation (IRC2020)

visual-pushing-grasping icon visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

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