Quick Overview: Paper presented in the 2023 International Conference on Diego Hidalgo Carvajal*, Hanzhi Chen*, Gemma Bettelani, Jaesug Jung, Melissa Zavaglia, Laura Busse, Abdeldjallil Naceri, ... Compilation of Experiments from Herzog, A; Pastor, P; Kalakrishnan, M; Righetti, L; Bohg, J; Asfour, T; Schaal, S: Learning of ...

Shape Completion Enabled Robotic Grasping - Detailed Overview & Context

Paper presented in the 2023 International Conference on Diego Hidalgo Carvajal*, Hanzhi Chen*, Gemma Bettelani, Jaesug Jung, Melissa Zavaglia, Laura Busse, Abdeldjallil Naceri, ... Compilation of Experiments from Herzog, A; Pastor, P; Kalakrishnan, M; Righetti, L; Bohg, J; Asfour, T; Schaal, S: Learning of ... Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations In this work we extensively evaluated the effect of using simulation and domain adaptation on vision-based UC Berkeley AUTOLAB Dex-Net 2.0: Deep Learning to Plan Robust

Video presentation of the article: Rustler, L., Lundell, J., Behrens, J. K., Kyrki, V., & Hoffmann, M. (2022). 'Active Visuo-Haptic ... Inspired by nature's most adaptable creatures, SpiRobs is a new soft Rustler, L., Lundell, J., Behrens, J. K., Kyrki, V., & Hoffmann, M. (2022). 'Active Visuo-Haptic Object

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Shape Completion Enabled Robotic Grasping
Shape Completion Enabled Robot Grasping (short)
RI Seminar: Peter K. Allen : Multi-Modal Geometric Learning for Grasping
3DSGrasp: 3D Shape-Completion for Robotic Grasp
A Variable Palm-width Robot Hand Capable of Grasping a Wide Array of Object Geometries
[ICRA 2023] SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand
Robotic grasping in Agile Production
Anthropomorphic Grasping with Neural Object Shape Completion
Learning of Grasp Selection based on Shape-Templates
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
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