Abstract: Techniques for latent belief space planning include: during execution of an autonomous agent configured to control operation of a physical mechanism, obtaining a current observation of a physical environment; based at least on the current observation of the physical environment, generating a trajectory tree that represents possible trajectories in a belief space, wherein nodes of the trajectory tree represent values of a continuous observation, a continuous state, and a continuous control, each node being associated with one of multiple timesteps along the plurality of possible trajectories, and wherein branches from inner nodes to child nodes correspond to possible outcomes and observations of a multi-modal latent state; determining a current value of the continuous control associated with a current node; and applying the current value of the continuous control to operation of the physical mechanism.

Abstract: A gladhand coupler assembly is configured to releasably couple to a gladhand coupler having a mating seal and first and second mating structures. The gladhand coupler assembly includes an assembly mating seal for interfacing with the gladhand coupler mating seal and first and second assembly mating structures coupled to the assembly mating seal. The first and second assembly mating structures are configured to interface with the gladhand coupler first and second mating structures, respectively. The gladhand coupler assembly further includes an actuation mechanism configured to move the assembly mating seal relative to the pair of rigidly fixed assembly mating structures. The gladhand actuation mechanism is further configured to place the assembly mating seal into and out of fluid communication with the gladhand coupler mating seal.

Abstract: Techniques for safe non-conservative planning include: obtaining a risk budget constraining a plan for an autonomous vehicle to satisfy an objective; based at least on the risk budget and the objective, planning a trajectory of the autonomous vehicle toward the objective, at least by: (a) determining a risk cost associated with an initial planned action of the trajectory, (b) based at least on the risk cost, determining whether the trajectory is feasible or infeasible within the risk budget, and (c) responsive to determining that the trajectory is feasible within the risk budget, executing the initial planned action; decreasing the risk budget by the risk cost, to obtain a remaining risk budget; obtaining state data corresponding to a state of the autonomous vehicle after executing the initial planned action; and based at least on the state data, the remaining risk budget, and the objective, planning another trajectory toward the objective.