ROS
Days of breaking sweat for a robotics project are long gone. Ramp up your robotics project with a crafty team of dedicated software engineers possessing exceptional know-how in the development of robot control software. Our dedicated team of robotics experts are currently working on autonomous vehicle development using real-time interactive physics simulation and machine learning for data collection, annotation, curation, and interface pipelining. We aim to collaborate with robot manufacturers worldwide seeking to outsource control software development through team augmentation.
ROS Fundamentals
ROS platform, configuration and common packages
Gazebo
Interactive physics based simulation for fast development iteration
Deep Neural Network Pipeline
Machine learning data collection, annotation, curation, training and inference pipelining
Traditional Computer Vision Pipeline
Classical computer vision algorithms, libraries, development
Simple Physics Processing
Robotics formulated as inverse problems in physics for accurate modeling
Custom Dynamics
Accurate modeling of robots and the worlds around them for development and continuous integration
Recent articles on ROS
Shoeb Ahmed Tanjim, ROS Team
Implementing Reinforcement Learning algorithm in Carla's Environment
Md. Mazharul Islam Khan, ROS Team
Convergence of Q-learning?
Nafid Ajmain Enan, ROS Team
Setting up Gazebo as a Reinforcement Learning Environment: A diff-drive lane follower implementation with ROS and Q-learning
Technology we use
