most citedGrasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Active Vision Methods

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cs.RO2025

Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Images

Keshav Bimbraw, Srikar Nekkanti, Daniel B. Tiller +4

Accurate estimation of human hand configuration and the forces they exert is critical for effective teleoperation and skill transfer in robotic manipulation. A deeper understanding…

cs.RO2021

ECNNs: Ensemble Learning Methods for Improving Planar Grasp Quality Estimation

Fadi Alladkani, James Akl, Berk Calli

We present an ensemble learning methodology that combines multiple existing robotic grasp synthesis algorithms and obtain a success rate that is significantly better than the indiv…

cs.RO20211 cited

Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Active Vision Methods

Sabhari Natarajan, Galen Brown, Berk Calli

In this work, we present several heuristic-based and data-driven active vision strategies for viewpoint optimization of an arm-mounted depth camera for the purpose of aiding roboti…

cs.RO2021

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

Ziyuan Liu, Wei Liu, Yuzhe Qin +8

In this paper, we propose a cloud-based benchmark for robotic grasping and manipulation, called the OCRTOC benchmark. The benchmark focuses on the object rearrangement problem, spe…

cs.RO2020

Region-Based Planning for 3D Within-Hand-Manipulation via Variable Friction Robot Fingers and Extrinsic Contacts

Alp Sahin, Adam J. Spiers, Berk Calli

Attempts to achieve robotic Within-Hand-Manipulation (WIHM) generally utilize either high-DOF robotic hands with elaborate sensing apparatus or multi-arm robotic systems. In prior…