Abstract: A system and method for issuing requests to a stateless computing platform is described. In an example implementation, the system may include a stateless computing platform configured to receive and service a first set of requests and a second set of requests from a stateful server.

Abstract: A system and method for issuing requests to a stateless computing platform is described. In an example implementation, the system may include a stateless computing platform configured to receive and service a first set of requests and a second set of requests from a stateful server.

Abstract: Mitigating the reality gap through optimization of one or more simulated hardware parameters for simulated hardware components of a simulated robot. Implementations generate and store real navigation data instances that are each based on a corresponding episode of locomotion of a real robot. A real navigation data instance can include a sequence of velocity control instances generated to control a real robot during a real episode of locomotion of the real robot, and one or more ground truth values, where each of the ground truth values is a measured value of a corresponding property of the real robot (e.g., pose). The velocity control instances can be applied to a simulated robot, and one or more losses can be generated based on comparing the ground truth value(s) to corresponding simulated value(s) generated from applying the velocity control instances to the simulated robot. The simulated hardware parameters and environmental parameters can be optimized based on the loss(es).

Abstract: Mitigating the reality gap through optimization of one or more simulated hardware parameters for simulated hardware components of a simulated robot. Implementations generate and store real navigation data instances that are each based on a corresponding episode of locomotion of a real robot. A real navigation data instance can include a sequence of velocity control instances generated to control a real robot during a real episode of locomotion of the real robot, and one or more ground truth values, where each of the ground truth values is a measured value of a corresponding property of the real robot (e.g., pose). The velocity control instances can be applied to a simulated robot, and one or more losses can be generated based on comparing the ground truth value(s) to corresponding simulated value(s) generated from applying the velocity control instances to the simulated robot. The simulated hardware parameters and environmental parameters can be optimized based on the loss(es).

Abstract: The formulation for making plasterboard with paper cover sheets comprises finely divided gypsum, a minor amount by weight of starch and, as crosslinking agent for the starch, a tri-functional reactive s-triazine having substituents at positions 2, 4 and 6 of the triazine ring which are reactive with the starch. A preferred crosslinking agent is 2,4,6-trichloro-s-triazine, which is preferably partially reacted with the starch before further reaction with the paper cover sheets for the plaster board.

Abstract: The formulation for making plasterboard with paper cover sheets comprises finely divided gypsum, a minor amount by weight of starch and, as crosslinking agent for the starch, a tri-functional reactive s-triazine having substituents at positions 2, 4 and 6 of the triazine ring which are reactive with the starch. A preferred crosslinking agent is 2,4,6-trichloro-s-triazine, which is preferably partially reacted with the starch before further reaction with the paper cover sheets for the plaster board.