100 citations · 210 across the 38 of their papers we have counts for
11 papers · 1 filter
Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
Yongliang Wang, Hamidreza Kasaei
Robotic grasping in densely cluttered environments is challenging due to scarce collision-free grasp affordances. Non-prehensile actions can increase feasible grasps in cluttered e…
ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing
Chuanyu Li, Renjun Dang, Xiang Li +8
This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 202…
VLN-Game: Vision-Language Equilibrium Search for Zero-Shot Semantic Navigation
Bangguo Yu, Yuzhen Liu, Lei Han +3
Following human instructions to explore and search for a specified target in an unfamiliar environment is a crucial skill for mobile service robots. Most of the previous works on o…
PANav: Toward Privacy-Aware Robot Navigation via Vision-Language Models
Bangguo Yu, Hamidreza Kasaei, Ming Cao
Navigating robots discreetly in human work environments while considering the possible privacy implications of robotic tasks presents significant challenges. Such scenarios are inc…
Single-Shot 6DoF Pose and 3D Size Estimation for Robotic Strawberry Harvesting
Lun Li, Hamidreza Kasaei
In this study, we introduce a deep-learning approach for determining both the 6DoF pose and 3D size of strawberries, aiming to significantly augment robotic harvesting efficiency.…
HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
Songsong Xiong, Hamidreza Kasaei
Robot grasping, whether handling isolated objects, cluttered items, or stacked objects, plays a critical role in industrial and service applications. However, current visual grasp…
Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas, Hamidreza Kasaei
Large Language Models (LLMs) have emerged as a new paradigm for embodied reasoning and control, most recently by generating robot policy code that utilizes a custom library of visi…
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections
Hamidreza Kasaei, Mohammadreza Kasaei
Imitation Learning (IL) has emerged as a powerful approach in robotics, allowing robots to acquire new skills by mimicking human actions. Despite its potential, the data collection…
3D Feature Distillation with Object-Centric Priors
Georgios Tziafas, Yucheng Xu, Zhibin Li +1
Grounding natural language to the physical world is a ubiquitous topic with a wide range of applications in computer vision and robotics. Recently, 2D vision-language models such a…
Towards Open-World Grasping with Large Vision-Language Models
Georgios Tziafas, Hamidreza Kasaei
The ability to grasp objects in-the-wild from open-ended language instructions constitutes a fundamental challenge in robotics. An open-world grasping system should be able to comb…
Harnessing the Synergy between Pushing, Grasping, and Throwing to Enhance Object Manipulation in Cluttered Scenarios
Hamidreza Kasaei, Mohammadreza Kasaei
In this work, we delve into the intricate synergy among non-prehensile actions like pushing, and prehensile actions such as grasping and throwing, within the domain of robotic mani…