2 papers
cs.RO2025
TetraGrip: Sensor-Driven Multi-Suction Reactive Object Manipulation in Cluttered Scenes
Paolo Torrado, Joshua Levin, Markus Grotz +1
Warehouse robotic systems equipped with vacuum grippers must reliably grasp a diverse range of objects from densely packed shelves. However, these environments present significant…
cs.LG2024
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes
Joshua Levin, Randall Correll, Takanori Ide +3
Deep reinforcement learning (RL) has been shown to be effective in producing approximate solutions to some vehicle routing problems (VRPs), especially when using policies generated…