Raghav Duddala

Raghav is a Robotics Engineer at Fresh with extensive experience in Python, Linux, ROS, and MATLAB.

Prior to joining Fresh, Raghav most recently worked implementing, training, and optimizing deep neural network architectures for object detection and built simulation frameworks for solving R-based robotic manipulation. He earned his Master’s in  Mechanical Engineering from the University of Washington.

In his free time, Raghav enjoys playing games of cricket and Catan, hiking, and integrating filmmaking with AI.

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Robot Perception and Navigation in Challenging Environments
AI/Machine Learning, Autonomous Mobile Robots, Robotic Software Development, Robotic Systems Integration

Robot Perception and Navigation in Challenging Environments

Sophisticated robot perception is essential for robotic navigation in indoor settings, as navigation is nuanced in terms of the task at hand and the environment. In many cases, it requires customized machine learning algorithms, such as deep neural networks for perception and SLAM for localization and mapping, to address the challenges. Robotic navigation can easily
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MLOps for Robots: A Primer
AI/Machine Learning, Autonomous Mobile Robots, Product Development, Robotic Software Development, Robotic Systems Integration

MLOps for Robots: A Primer

Machine learning operations (MLOps) is the discipline of delivering machine learning (ML) models through repeatable and efficient workflows. A relatively fresh concept compared with a decade ago, MLOps presents the potential to standardize workflows and make AI-based software development more efficient.  Here is why that matters: In this post, we will dive further into MLOps
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Evolving Artificial Intelligence Through Robotics
AI/Machine Learning, Robotic Software Development, Robotic Systems Integration

Evolving Artificial Intelligence Through Robotics

Artificial intelligence (AI) has been evolving at a fast pace in recent years. In industrial sectors such as healthcare, education, finance, e-commerce, logistics, industrial test automation, construction, agriculture, and transportation, we’ve seen the revolutionary impact of AI and its growing adoption. What is AI? At Fresh, we’re in favor of this simple definition from Wikipedia:
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