Scientist - Visuo-Tactile Perception for In-Hand Object Manipulation for Global Automotive Company i at OSI Engineering

Summary:

An innovation team for a global automotive company in San Jose, California, is looking for a postdoctoral scientist to investigate and implement algorithms that exploit vision and tactile feedback for robotic in-hand object manipulation. The focus of the research is to develop perception algorithms to estimate object states such as 6D pose and finger-object contact states such as slip that can be used by a high-level planner to perform manipulation tasks.

Responsibilities:

• Development of multi-modal perception algorithms focused on computer vision and tactile sensing for object grasping and manipulation.
• Deploy algorithms on a robotic platform and demonstrate their application on a set of tasks (e.g. in-hand repositioning of objects).
• Collaborate with local and international researchers and engineers within the company.
• File patents on developed technologies.
• Publish research results at top-tier conferences and journals in robotics as well as machine learning.

Required Skillset:

• Ph.D. in computer science, robotics, or a related field (1-3 publications)
• Experience with deep learning and deep learning platforms such as TensorFlow and PyTorch.
• Experience with temporal approaches such as LSTMs.
• Strong programming skills in C++ or Python.
• Familiarity with ROS and developing end-to-end systems.
• Experience training and testing machine learning algorithms and deploying models on a robotic platform.
• Experience with computer vision and multisensory perception is a plus.
• Experience with robotic manipulation, tactile sensing, and grasping is a plus.
• Experience with sim-to-real approaches is a plus.

Duration: 3+ years

Location: San Jose, CA (hybrid work schedule)

Type: Contract