Company Filing History:
Years Active: 2022-2025
Title: The Innovations of Daniel Sorin
Introduction
Daniel Sorin is an accomplished inventor based in Boston, MA (US). He has made significant contributions to the field of robotics, particularly in motion planning and collision detection. With a total of 7 patents to his name, Sorin's work is at the forefront of technological advancements in robotics.
Latest Patents
One of Sorin's latest patents focuses on collision detection useful in motion planning for robotics. This innovation employs data structure representations of robots, persistent obstacles, and transient obstacles in an operational environment. The data structures can be hierarchical, such as octrees or trees of bounding boxes, or non-hierarchical, like Euclidean Distance Fields. This approach enhances computational efficiency, reduces memory requirements, and lowers power consumption. Another notable patent involves a robot control system that determines which discretizations to use for generating representations of robot swept volumes and the environment. This system allows for dynamic switching between multiple motion planning graphs, enabling efficient motion planning as the robot's characteristics change.
Career Highlights
Sorin is currently employed at Realtime Robotics, Inc., where he continues to innovate in the field of robotics. His work has been instrumental in developing systems that improve the operational capabilities of robots in complex environments.
Collaborations
Throughout his career, Sorin has collaborated with notable colleagues, including George Konidaris and Sean Murray. These partnerships have fostered a collaborative environment that enhances the development of cutting-edge technologies.
Conclusion
Daniel Sorin's contributions to robotics through his patents and innovative work at Realtime Robotics, Inc. highlight his role as a leading inventor in the field. His advancements in collision detection and motion planning are paving the way for more efficient and capable robotic systems.