Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mirjalili, Reihaneh"'
In this paper, we propose VLM-Vac, a novel framework designed to enhance the autonomy of smart robot vacuum cleaners. Our approach integrates the zero-shot object detection capabilities of a Vision-Language Model (VLM) with a Knowledge Distillation (
Externí odkaz:
http://arxiv.org/abs/2409.14096
In this paper, we propose LAN-grasp, a novel approach towards more appropriate semantic grasping. We use foundation models to provide the robot with a deeper understanding of the objects, the right place to grasp an object, or even the parts to avoid
Externí odkaz:
http://arxiv.org/abs/2310.05239
Visual place recognition is essential for vision-based robot localization and SLAM. Despite the tremendous progress made in recent years, place recognition in changing environments remains challenging. A promising approach to cope with appearance var
Externí odkaz:
http://arxiv.org/abs/2304.07058
Autor:
Mirjalili, Reihaneh, Yousefi-koma, Aghil, Shirazi, Farzad A., Nikkhah, Arman, Nazemi, Fatemeh, Khadiv, Majid
In this paper, we present an approach for generating a variety of whole-body motions for a humanoid robot. We extend the available Model Predictive Control (MPC) approaches for walking on flat terrain to plan for both vertical motion of the Center of
Externí odkaz:
http://arxiv.org/abs/1810.10270
Autor:
Shafiee-Ashtiani, Milad, Yousefi-Koma, Aghil, Mirjalili, Reihaneh, Maleki, Hessam, Karimi, Mojtaba
In this paper, a combination of ankle and hip strategy is used for push recovery of a position-controlled humanoid robot. Ankle strategy and hip strategy are equivalent to Center of Pressure (CoP) and Centroidal Moment Pivot (CMP) regulation respecti
Externí odkaz:
http://arxiv.org/abs/1710.10598
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Apr2020, Vol. 790 Issue 1, p1-1, 1p
