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Article
Affordance-based robot object retrieval
Natural language object retrieval is a highly useful yet challenging task for robots in human-centric environments. Previous work has primarily focused on commands specifying the desired object’s type such as ...
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Article
Grounding natural language instructions to semantic goal representations for abstraction and generalization
Language grounding is broadly defined as the problem of map** natural language instructions to robot behavior. To truly be effective, these language grounding systems must be accurate in their selection of b...
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Chapter and Conference Paper
Bayesian Gait Optimization for Bipedal Locomotion
One of the key challenges in robotic bipedal locomotion is finding gait parameters that optimize a desired performance criterion, such as speed, robustness or energy efficiency. Typically, gait optimization re...