100 citations · 210 across the 38 of their papers we have counts for
9 papers · 1 filter
Language-guided Robot Grasping: CLIP-based Referring Grasp Synthesis in Clutter
Georgios Tziafas, Yucheng Xu, Arushi Goel +3
Robots operating in human-centric environments require the integration of visual grounding and grasping capabilities to effectively manipulate objects based on user instructions. T…
Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models
Bangguo Yu, Qihao Yuan, Kailai Li +2
Visual target navigation is a critical capability for autonomous robots operating in unknown environments, particularly in human-robot interaction scenarios. While classical and le…
Fine-grained 3D object recognition: an approach and experiments
Junhyung Jo, Hamidreza Kasaei
Three-dimensional (3D) object recognition technology is being used as a core technology in advanced technologies such as autonomous driving of automobiles. There are two sets of ap…
Learning Perceptive Bipedal Locomotion over Irregular Terrain
Bart van Marum, Matthia Sabatelli, Hamidreza Kasaei
In this paper we propose a novel bipedal locomotion controller that uses noisy exteroception to traverse a wide variety of terrains. Building on the cutting-edge advancements in at…
Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE
Yucheng Xu, Li Nanbo, Arushi Goel +5
Videos depict the change of complex dynamical systems over time in the form of discrete image sequences. Generating controllable videos by learning the dynamical system is an impor…
Frontier Semantic Exploration for Visual Target Navigation
Bangguo Yu, Hamidreza Kasaei, Ming Cao
This work focuses on the problem of visual target navigation, which is very important for autonomous robots as it is closely related to high-level tasks. To find a special object i…
L3MVN: Leveraging Large Language Models for Visual Target Navigation
Bangguo Yu, Hamidreza Kasaei, Ming Cao
Visual target navigation in unknown environments is a crucial problem in robotics. Despite extensive investigation of classical and learning-based approaches in the past, robots la…
Instance-wise Grasp Synthesis for Robotic Grasping
Yucheng Xu, Mohammadreza Kasaei, Hamidreza Kasaei +1
Generating high-quality instance-wise grasp configurations provides critical information of how to grasp specific objects in a multi-object environment and is of high importance fo…
Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D Objects
H. Ayoobi, H. Kasaei, M. Cao +2
Local-HDP (for Local Hierarchical Dirichlet Process) is a hierarchical Bayesian method that has recently been used for open-ended 3D object category recognition. This method has be…