Rethink Robotics Gmbh

Varmour Networks, Inc.

Matthew Murray Williamson

Rodney Brooks

Michael Sussman

Christopher J Buehler

Marc Woolward

Noelle Dye

Bruce M Blumberg

Meng Xu

Keith Stewart

Michael Siracusa

Matthew DiCicco

Hong Xiao

Gerry Ens

Joseph M Romano

Cheng-Lin Hou

Natan Linder

William A Goodwin

Choung-Yaw Shieh

Elaine Chen

Hsisheng Wang

Waleed Ahmed Farahat

Jason Parry

Timothy Eades

Patrick A Deegan

Myo Zarny

Zhiping Liu

Yi Hung Cheng

Chien Yang Hsu

Albert Huang

Hsin Tien Tseng

Methods and systems for managing security in a cloud computing environment are provided. Exemplary methods include: gathering data about workloads and applications in the cloud computing environment; updating a graph database using the data, the graph database representing the workloads of the cloud computing environment as nodes and relationships between the workloads as edges; receiving a security template, the security template logically describing targets in the cloud computing environment to be protected and how to protect the targets; creating a security policy using the security template and information in the graph database; and deploying the security policy in the cloud computing environment.

Cloud security management

Methods and systems for validating security policy in a cloud computing environment are provided. An example method includes providing a graph database, the graph database representing workloads of the cloud computing environment as nodes and relationships between the workloads as edges, receiving a security policy, the security policy logically describing rules for the relationships between the workloads, determining, based on the security policy and the graph database, a list of violations, the list of violations including at least one relationship from the relationships between the workloads in the graph database, the at least one relationship being not allowed by at least one of the rules in the security policy, and providing the list of violations to a user.

Validation of cloud security policies

Methods and systems for managing security in a cloud computing environment are provided. Exemplary methods include: receiving a target, the target specifying workloads of a plurality of workloads to be included in the security policy, the plurality of workloads being associated with the cloud computing environment; identifying nodes and edges in the graph database using the target, the graph database representing the plurality of workloads as nodes and relationships between the plurality of workloads as edges; getting a security intent, the security intent including a high-level security objective in a natural language; obtaining a security template associated with the security intent; and applying the security template to the identified nodes and edges to produce security rules for the security policy, the security rules at least one of allowing and denying communications between the target and other workloads of the plurality of workloads.

Template-driven intent-based security

Methods and systems for deception using distributed threat detection are provided. Exemplary methods by an enforcement point, the enforcement point communicatively coupled to a first data network and a second data network, the enforcement point not providing services in the second data network, include: receiving, from a first workload in the second data network, a data packet addressed to a second workload in the second data network, the data packet requesting a service from the second workload; determining the data packet is for unauthorized access of the second workload, the determining using at least some of a 5-tuple of the data packet; identifying a deception point using the service, the deception point being in the first data network and including a decoy for the service; and redirecting the data packet to the deception point in the first data network.

Deception using distributed threat detection

Redundant robotic manipulators may be constrained in their motions during operation in a gravity-compensated mode by applying, in addition to gravity-compensating torques, constraining torques to one or more of the joints. The constraining torques may urge the manipulator to a specified canonical posture, and may be modeled by virtual springs attached to the constrained joints.

Constraining robotic manipulators with redundant degrees of freedom

Sensors associated with a robot or sub-system thereof (e.g., a series elastic actuator associated with a robot joint) may be monitored for mutual consistency using one or more constraints that relate physical quantities measured by the sensors to each other. The constraints may be based on a physical model of the robot or sub-system.

Monitoring robot sensor consistency

In various embodiments, safe collaboration between a robot and humans is achieved by operating the robot continuously at or below a first threshold speed at which any collisions with a person's arms do not cause harm, and, upon detection of the person's torso or head within a danger zone around the robot, reducing the speed to or below a second threshold at which any collisions with the person's torso or head do not cause harm.

Systems and methods for safe robot operation

Robots may manipulate objects based on sensor input about the objects and/or the environment in conjunction with data structures representing primitive tasks and, in some embodiments, objects and/or locations associated therewith. The data structures may be created by instantiating respective prototypes during training by a human trainer.

Training and operating industrial robots

In accordance with various embodiments, a user-guidable robot appendage provides haptic feedback to the user.

User interfaces for robot training

Growing community of inventors

Marblehead, MA, United States of America

Matthew Murray Williamson