Shashank Tamaskar

Title: Shashank Tamaskar: Inventor in Robotic Grasping

Introduction

Shashank Tamaskar is an inventor associated with Punjab, India, and Siemens Aktiengesellschaft. His patent work addresses a challenge in robotic grasping: changes in input-data distributions between the training and inference stages can reduce the performance of grasping neural networks.

Latest Patents

The provided information lists 1 patent for Tamaskar: “Transformation for Covariate Shift of Grasp Neural Networks.” The invention describes transforming a neural network’s output to identify suitable locations on an object for a robot or autonomous machine to grasp. This approach is intended to help address covariate shifts, such as changes in noise distributions, that may impair grasping performance.

Career Highlights

Tamaskar’s listed patent connects his work with the application of neural networks to robotic manipulation. The available information identifies Siemens Aktiengesellschaft as his company but does not provide further details about his role or career history.

Collaborations

The patent information associates Tamaskar’s invention with Siemens Aktiengesellschaft. No additional collaborators or co-inventors are specified in the provided data.

Conclusion

Shashank Tamaskar’s listed invention focuses on making neural-network-based robotic grasping more robust to changes in input data, with the goal of helping machines select effective grasp locations.