CLASP combines TP-KMPs with VLMs for language-guided skill selection, covariance-weighted composition, and active learning requests, reporting 73.3-100% success on a 7-DoF manipulator.
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4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Introduces a structured framework showing that visual predicate failures under degradation are non-uniform, with static predicates more robust than dynamic ones like grasp and release, and quantifies downstream accuracy drops.
SoftPINCH is an EMG-driven soft exoskeleton using CNN+LSTM decoding and magnetic fingertip sensing that achieves 99.4% cross-subject accuracy and reduces muscular effort during pinch grasping.
Behavior Trees improve multi-robot task coordination over FSMs in VSSS soccer, shown via FIRASim simulation and competition evaluation.
citing papers explorer
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CLASP: Language-Driven Robot Skill Selection and Composition using Task-Parameterized Learning
CLASP combines TP-KMPs with VLMs for language-guided skill selection, covariance-weighted composition, and active learning requests, reporting 73.3-100% success on a 7-DoF manipulator.
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Trustworthy Visual Predicates for Robust Manipulation Understanding under Degradation
Introduces a structured framework showing that visual predicate failures under degradation are non-uniform, with static predicates more robust than dynamic ones like grasp and release, and quantifies downstream accuracy drops.
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SoftPINCH: EMG-Driven Soft Exoskeleton Assistance for Finger Flexion and Grasping
SoftPINCH is an EMG-driven soft exoskeleton using CNN+LSTM decoding and magnetic fingertip sensing that achieves 99.4% cross-subject accuracy and reduces muscular effort during pinch grasping.
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Coordinating Task Switching in a Robotics Multi-Agent System Using Behavior Trees
Behavior Trees improve multi-robot task coordination over FSMs in VSSS soccer, shown via FIRASim simulation and competition evaluation.