3 citations · 9 across the 22 of their papers we have counts for
10 papers · 1 filter
Continual Humanoid Motion Learning
Zhewen He, Hao Huang, Geeta Chandra Raju Bethala +4
Humanoid whole-body controllers can now track a diverse set of dynamic motions, but they are typically trained offline and then frozen, so teaching such a controller a new skill te…
Local Path Planning and Obstacle Avoidance for an Omnicopter Platform
Mikolaj Helinski, Spilios Theodoulis, Mahmoud Hamandi +3
Autonomous unmanned aerial vehicles (UAVs) increasingly operate in cluttered environments where global planners such as RRT* are not directly deployable at control rates. This pape…
Focus Where It Counts: A Salience-Driven Vision-Language Model for Low Vision Assistance
Jiazhao Liang, Hao Huang, Shuaihang Yuan +8
Vision-language models (VLMs) are rapidly progressing and offer promising capabilities for assistive technologies supporting persons with blindness or low vision. However, existing…
Anytime Primal--Dual Certification of the Maximum Disturbance Radius in Robust MPC
Wenqi Cai, Muhammad Bakr Abdelghany, Kyriakos G. Vamvoudakis +1
Adjustable-set robust model predictive control (MPC) characterizes a state-dependent maximum disturbance radius, which can be interpreted as a certified robustness reserve. Existin…
Dual Stress: Runtime Safety Monitoring for Safety-Constrained MPC Navigation
Jamil Chahine, Wenqi Cai, John Abanes +1
Runtime hazard monitors for autonomous naviga- tion are conventionally built from geometric quantities: predicted clearance, time to collision, and required deceleration. A model-p…
Hölder Signed Distance: A Differentiable, Signed, Parallelizable Metric for Robotics
Felipe Bartelt, Ali Umut Kaypak, Anthony Tzes +3
Computing distances between sets is essential in robotic motion planning and control, where differentiable gradients enable real-time optimization. The Euclidean Signed Distance Fu…
Learning Adaptive Safety Margins for Visual Navigation
Junyi Hu, Shuaihang Yuan, Geeta Chandra Raju Bethala +2
Robots in cluttered indoor spaces often fail not because they cannot generate collision-free paths, but because a fixed safety margin is mis-calibrated: conservative margins cause…
Immersive Social Interaction with VR and LLM-Assisted Humanoids
Niraj Pudasaini, Geeta Chandra Raju Bethala, Pranav Doma +2
Humanoid robots can extend human presence to remote, constrained, or hazardous environments, but existing teleoperation interfaces often require physically demanding motion trackin…
Safe Human-to-Humanoid Motion Imitation Using Control Barrier Functions
Wenqi Cai, John Abanes, Nikolaos Evangeliou +1
Ensuring operational safety is critical for human-to-humanoid motion imitation. This paper presents a vision-based framework that enables a humanoid robot to imitate human movement…
Cost-Matching Model Predictive Control for Efficient Reinforcement Learning in Humanoid Locomotion
Wenqi Cai, Kyriakos G. Vamvoudakis, Sébastien Gros +1
In this paper, we propose a cost-matching approach for optimal humanoid locomotion within a Model Predictive Control (MPC)-based Reinforcement Learning (RL) framework. A parameteri…