SCSP is a cascaded optimization framework using a surrogate contact model and discrete-continuous search to enable simultaneous contact selection and planning for robust contact-rich manipulation.
Learning soccer skills for humanoid robots: A progressive perception- action framework
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Raw proximity measurements can substitute for explicit object localization in humanoid collision avoidance if sensing range is sufficient, and sparse non-directional proximity signals train more efficiently than dense directional alternatives.
citing papers explorer
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Simultaneous Contact Selection and Planning for Contact-Rich Manipulation with Cascaded Optimization
SCSP is a cascaded optimization framework using a surrogate contact model and discrete-continuous search to enable simultaneous contact selection and planning for robust contact-rich manipulation.
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Egocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance
Raw proximity measurements can substitute for explicit object localization in humanoid collision avoidance if sensing range is sufficient, and sparse non-directional proximity signals train more efficiently than dense directional alternatives.