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Found 6 papers, 2 papers with code
Machine Vision based Sample-Tube Localization for Mars Sample Return
A potential Mars Sample Return (MSR) architecture is being jointly studied by NASA and ESA.
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching
This work informs the Mars Sample Return campaign on the choice of a site where Perseverance (R0) will place a set of sample tubes for future retrieval by another rover (R1).
Constrained Exploration and Recovery from Experience Shaping
We consider the problem of reinforcement learning under safety requirements, in which an agent is trained to complete a given task, typically formalized as the maximization of a reward signal over time, while concurrently avoiding undesirable actions or states, associated to lower rewards, or penalties.
Reinforcement Learning Testbed for Power-Consumption Optimization
Common approaches to control a data-center cooling system rely on approximated system/environment models that are built upon the knowledge of mechanical cooling and electrical and thermal management.
Systems and Control
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
While deep reinforcement learning techniques have recently produced considerable achievements on many decision-making problems, their use in robotics has largely been limited to simulated worlds or restricted motions, since unconstrained trial-and-error interactions in the real world can have undesirable consequences for the robot or its environment.
Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces
We present a novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single RGB-D camera.
