Proximity sensing autonomous robotic systems and apparatus
N Zamani, T Lasswell - US Patent 12,064,865, 2024 - Google Patents
A proximity sensing autonomous robotic system and apparatus is provided. The robot
includes one or more vision modules for viewing the environment for depth perception …
includes one or more vision modules for viewing the environment for depth perception …
Device and method for controlling a robotic device
M Guo - US Patent 12,115,667, 2024 - Google Patents
A device and a method for controlling a robotic device, including a control model. The
control model includes a robot trajectory model, which for the pickup includes a hidden semi …
control model includes a robot trajectory model, which for the pickup includes a hidden semi …
Systems and methods for a vision guided end effector
Systems and method for an object from a plurality of objects are disclosed. An image of a
scene containing the plurality of objects is obtained, and a segmentation map is generated …
scene containing the plurality of objects is obtained, and a segmentation map is generated …
Techniques for robot control using neural implicit value functions
One embodiment of a method for controlling a robot includes receiving sensor data
associated with an environment that includes an object; applying a machine learning model …
associated with an environment that includes an object; applying a machine learning model …
Simulation-in-the-loop tuning of robot parameters for system modeling and control
A system for parameter tuning for robotic manipulators is provided. The system includes an
interface configured to receive a task specification, a plurality of physical parameters, and a …
interface configured to receive a task specification, a plurality of physical parameters, and a …
Controller with neural network and improved stability
JZ Kolter, M Roderick, PL Donti… - US Patent App. 17 …, 2021 - Google Patents
Despite recent high-profile advances and state-of the-art performance on many tasks, deep
reinforcement learning has still found limited application in" safety-criti cal” domains where …
reinforcement learning has still found limited application in" safety-criti cal” domains where …