1 citations · 4 across the 10 of their papers we have counts for
10 papers
Robot Squid Game: Quadrupedal Locomotion for Traversing Narrow Tunnels
Amir Hossain Raj, Dibyendu Das, Xuesu Xiao
Quadruped robots demonstrate exceptional potential for navigating complex terrain in critical applications such as search and rescue missions and infrastructure inspection However…
TransCurriculum: Multi-Dimensional Curriculum Learning for Fast & Stable Locomotion
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
High-speed legged locomotion struggles with stability and transfer losses at higher command velocities during deployment. One reason is that most curricula vary difficulty along si…
MorFiC: Fixing Value Miscalibration for Zero-Shot Quadruped Transfer
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
Generalizing learned locomotion policies across quadrupedal robots with different morphologies remains a challenge. Policies trained on a single robot often fail when deployed on e…
McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
We present Morphology-Control-Aware Reinforcement Learning (McARL), a new approach to overcome challenges of hyperparameter tuning and transfer loss, enabling generalizable locomot…
HACL: History-Aware Curriculum Learning for Fast Locomotion
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
We address the problem of agile and rapid locomotion, a key characteristic of quadrupedal and bipedal robots. We present a new algorithm that maintains stability and generates high…
Human-Robot Co-Transportation using Disturbance-Aware MPC with Pose Optimization
Al Jaber Mahmud, Amir Hossain Raj, Duc M. Nguyen +3
This paper proposes a new control algorithm for human-robot co-transportation using a robot manipulator equipped with a mobile base and a robotic arm. We integrate the regular Mode…
VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language Models
Daeun Song, Jing Liang, Amirreza Payandeh +3
We propose VLM-Social-Nav, a novel Vision-Language Model (VLM) based navigation approach to compute a robot's motion in human-centered environments. Our goal is to make real-time d…
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
Zifan Xu, Amir Hossain Raj, Xuesu Xiao +1
Recent advances of locomotion controllers utilizing deep reinforcement learning (RL) have yielded impressive results in terms of achieving rapid and robust locomotion across challe…
A Study on Learning Social Robot Navigation with Multimodal Perception
Bhabaranjan Panigrahi, Amir Hossain Raj, Mohammad Nazeri +1
Autonomous mobile robots need to perceive the environments with their onboard sensors (e.g., LiDARs and RGB cameras) and then make appropriate navigation decisions. In order to nav…
Rethinking Social Robot Navigation: Leveraging the Best of Two Worlds
Amir Hossain Raj, Zichao Hu, Haresh Karnan +6
Empowering robots to navigate in a socially compliant manner is essential for the acceptance of robots moving in human-inhabited environments. Previously, roboticists have develope…