Osher Lifelong Learning Institute
How AI and Developments in Computing Combine to Advance Agricultural Robotics
Speaker
Bret Wallach
Coordinator
Jerry Kent
Until recently, computation has been the primary
bottleneck for advanced robotics, particularly in
sensor-rich applications like agricultural robotics.
This talk will explore how exponential increases in
computational power, combined with advances
in AI and deep learning, have enabled increasingly
sophisticated robotic solutions in agriculture and
beyond. With the rise of large language models
(LLMs), AI is transforming human-machine
interaction, automation and decision-making. Based
on the current state of LLMs, we will attempt to
predict future AI trends, including their impact on
robotics, labor, and society in the coming years.
bottleneck for advanced robotics, particularly in
sensor-rich applications like agricultural robotics.
This talk will explore how exponential increases in
computational power, combined with advances
in AI and deep learning, have enabled increasingly
sophisticated robotic solutions in agriculture and
beyond. With the rise of large language models
(LLMs), AI is transforming human-machine
interaction, automation and decision-making. Based
on the current state of LLMs, we will attempt to
predict future AI trends, including their impact on
robotics, labor, and society in the coming years.
Speaker Bio
Presenter: Bret Wallach is founder, president and
CTO of Vision Robotics Corporation, a 25-year-
old company that develops and manufactures
products focusing on machine vision and AI for
agricultural applications. He has been involved
in all aspects of researching, using and creating
technologies used for Vision Robotics’ products.
He earned a B.S. in computer science and
engineering from MIT.
CTO of Vision Robotics Corporation, a 25-year-
old company that develops and manufactures
products focusing on machine vision and AI for
agricultural applications. He has been involved
in all aspects of researching, using and creating
technologies used for Vision Robotics’ products.
He earned a B.S. in computer science and
engineering from MIT.
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