Intel Corporation

Gagan Acharya

Amit S Baxi

Venkataraman Natarajan

Rita H Wouhaybi

Wen-Ling Huang

Venkat Natarajan

Arjun K G

Arjun Kg

Shagaya Mageshkumar Vincent

Ramya M

The present disclosure provides describes to train a multi policy ML model to control robots in a multi-robot system in collaborating to perform a task. For example, trajectories associated with manipulating an object to perform the collaborative task can be determined and an ML model trained to output control actions for the robots in the multi-robot system to collaborate to complete the task.

Training collaborative robots through user demonstrations

Various aspects of methods, systems, and use cases include techniques for training or using a model to control a robot. A method may include identifying a set of action primitives applicable to a set of robots, receiving information corresponding to a task (e.g., a collaborative task), and determining at least one action primitive based on the received information. The method may include training a model to control operations of at least one robot of the set of robots using the received information and the at least one action primitive.

Collaborative multi-robot tasks using action primitives

Methods and apparatus for complex assembly via autonomous robots using reinforcement learning action primitives are disclosed. An example apparatus includes a construction manager and a movement manager. The construction manager is to determine sequences of reinforcement learning (RL) action primitives based on object location goals and associated assembly goals determined for respective ones of objects depicted in an imaged assembly of objects. The movement manager is to command a robot to construct a physical assembly of objects based on the sequences of RL action primitives. The physical assembly of objects is to correspond to the imaged assembly of objects.

Methods and apparatus for complex assembly via autonomous robots using reinforcement learning action primitives

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Karnataka, India

Gagan Acharya