activity
20202025
most citedHumanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning

7 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2025

EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning

Wei Zhu, Abirath Raju, Abdulaziz Shamsah +3

This study presents an emotion-aware navigation framework -- EmoBipedNav -- using deep reinforcement learning (DRL) for bipedal robots walking in socially interactive environments.…

cs.RO2025★ 7 cited

Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning

Zhaoyuan Gu, Junheng Li, Wenlan Shen +15

Humanoid robots hold great potential to perform various human-level skills, involving unified locomotion and manipulation in real-world settings. Driven by advances in machine lear…

cs.RO2024

Terrain-Aware Model Predictive Control of Heterogeneous Bipedal and Aerial Robot Coordination for Search and Rescue Tasks

Abdulaziz Shamsah, Jesse Jiang, Ziwon Yoon +2

Humanoid robots offer significant advantages for search and rescue tasks, thanks to their capability to traverse rough terrains and perform transportation tasks. In this study, we…

cs.RO2024★ 1 cited

Socially Acceptable Bipedal Robot Navigation via Social Zonotope Network Model Predictive Control

Abdulaziz Shamsah, Krishanu Agarwal, Nigam Katta +3

This study addresses the challenge of social bipedal navigation in a dynamic, human-crowded environment, a research area largely underexplored in legged robot navigation. We presen…

cs.RO2024

Bipedal Safe Navigation over Uncertain Rough Terrain: Unifying Terrain Mapping and Locomotion Stability

Kasidit Muenprasitivej, Jesse Jiang, Abdulaziz Shamsah +2

We study the problem of bipedal robot navigation in complex environments with uncertain and rough terrain. In particular, we consider a scenario in which the robot is expected to r…

cs.RO2024

Real-time Model Predictive Control with Zonotope-Based Neural Networks for Bipedal Social Navigation

Abdulaziz Shamsah, Krishanu Agarwal, Shreyas Kousik +1

This study addresses the challenge of bipedal navigation in a dynamic human-crowded environment, a research area that remains largely underexplored in the field of legged navigatio…

cs.RO2023★ 1 cited

Socially Acceptable Bipedal Navigation: A Signal-Temporal-Logic- Driven Approach for Safe Locomotion

Abdulaziz Shamsah, Ye Zhao

Social navigation for bipedal robots remains relatively unexplored due to the highly complex, nonlinear dynamics of bipedal locomotion. This study presents a preliminary exploratio…

eess.SY2021★ 4 cited

Integrated Task and Motion Planning for Safe Legged Navigation in Partially Observable Environments

Abdulaziz Shamsah, Zhaoyuan Gu, Jonas Warnke +2

This study proposes a hierarchically integrated framework for safe task and motion planning (TAMP) of bipedal locomotion in a partially observable environment with dynamic obstacle…

cs.RO2020

Towards Safe Locomotion Navigation in Partially Observable Environments with Uneven Terrain

Jonas Warnke, Abdulaziz Shamsah, Yingke Li +1

This study proposes an integrated task and motion planning method for dynamic locomotion in partially observable environments with multi-level safety guarantees. This layered plann…