3 papers
cs.RO2026
Failing Forward: Adaptive Failure-Informed Learning for Vision-Language-Action Models
Meng Zheng, Samhita Marri, Anwesa Choudhuri +6
Vision-language-action (VLA) models provide a promising paradigm for scalable robotic manipulation, yet their reliance on success-only behavioral cloning leaves them brittle; lacki…
cs.RO2026
HyReach: Vision-Guided Hybrid Manipulator Reaching in Unseen Cluttered Environments
Shivani Kamtikar, Kendall Koe, Justin Wasserman +5
As robotic systems increasingly operate in unstructured, cluttered, and previously unseen environments, there is a growing need for manipulators that combine compliance, adaptabili…
cs.RO2025
Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception
Kendall Koe, Poojan Kalpeshbhai Shah, Benjamin Walt +7
Due to labor shortages in specialty crop industries, a need for robotic automation to increase agricultural efficiency and productivity has arisen. Previous manipulation systems pe…