10 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.RO2022★ 1 cited
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping
Anil Kurkcu, Cihan Acar, Domenico Campolo +1
The domain of robotics is challenging to apply deep reinforcement learning due to the need for large amounts of data and for ensuring safety during learning. Curriculum learning ha…
cs.RO2022★ 10 cited
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning
Cihan Acar, Keng Peng Tee
Sampling-based motion planning under task constraints is challenging because the null-measure constraint manifold in the configuration space makes rejection sampling extremely inef…
cs.CV2019
6D Pose Estimation with Correlation Fusion
Yi Cheng, Hongyuan Zhu, Ying Sun +6
6D object pose estimation is widely applied in robotic tasks such as grasping and manipulation. Prior methods using RGB-only images are vulnerable to heavy occlusion and poor illum…