activity
20232026
most citedErgonomic Optimization in Worker-Robot Bimanual Object Handover: Implementing REBA Using Reinforcement Learning in Virtual Reality

1 citations · 2 across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO2026

FLASH-CBF-RRT: Fast Lipschitz-Adaptive Safe Horizon CBF Steering for Certified Motion Planning

Mani Amani, Hesam Mojtahedi, Reza Akhavian +2

Fast motion planning requires both sample-efficient exploration and computationally efficient local steering. Conventional straight-line steering is inexpensive but wastes samples…

cs.RO2026

BubbleCBF: Constructive Safety for Second-Order Systems and Application to Autonomous Robot Navigation in Unknown Environments

Mani Amani, Mohammed Alyaseen, Zhirui Dai +3

Satisfying safety constraints for systems with second-order dynamics is challenging because a position constraint may require infeasible deceleration. Higher-order control barrier…

cs.RO2026

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression

Zhirui Dai, Tianxing Fan, Mani Amani +4

Accurate and efficient scene representation is crucial for robotic tasks such as motion planning, manipulation, and navigation. Signed distance functions (SDFs) have emerged as a p…

cs.RO2025

Bootstrapped LLM Semantics for Context-Aware Path Planning

Mani Amani, Behrad Beheshti, Reza Akhavian

Prompting robots with natural language (NL) has largely been studied as what task to execute (goal selection, skill sequencing) rather than how to execute that task safely and effi…

cs.RO2025

Digital Twin-Guided Robot Path Planning: A Beta-Bernoulli Fusion with Large Language Model as a Sensor

Mani Amani, Reza Akhavian

Integrating natural language (NL) prompts into robotic mission planning has attracted significant interest in recent years. In the construction domain, Building Information Models…

cs.RO2025

Building Information Models to Robot-Ready Site Digital Twins (BIM2RDT): An Agentic AI Safety-First Framework

Reza Akhavian, Mani Amani, Johannes Mootz +2

The adoption of cyber-physical systems and jobsite intelligence that connects design models, real-time site sensing, and autonomous field operations can dramatically enhance digita…

cs.RO2025★ 1 cited

Bayesian BIM-Guided Construction Robot Navigation with NLP Safety Prompts in Dynamic Environments

Mani Amani, Reza Akhavian

Construction robotics increasingly relies on natural language processing for task execution, creating a need for robust methods to interpret commands in complex, dynamic environmen…

cs.RO2024

Safe and Trustworthy Robot Pathfinding with BIM, MHA*, and NLP

Mani Amani, Reza Akhavian

Construction robots have gained significant traction in recent years in research and development. However, the application of industrial robots has unique challenges. Dynamic envir…

cs.RO2024

Adaptive Robot Perception in Construction Environments using 4D BIM

Mani Amani, Reza Akhavian

Human Activity Recognition (HAR) is a pivotal component of robot perception for physical Human Robot Interaction (pHRI) tasks. In construction robotics, it is vital that robots hav…

cs.RO2024★ 1 cited

Ergonomic Optimization in Worker-Robot Bimanual Object Handover: Implementing REBA Using Reinforcement Learning in Virtual Reality

Mani Amani, Reza Akhavian

Robots can serve as safety catalysts on construction job sites by taking over hazardous and repetitive tasks while alleviating the risks associated with existing manual workflows.…

cs.AI2023

Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception

Riley Tavassoli, Mani Amani, Reza Akhavian

Vision-language models (VLMs) have shown powerful capabilities in visual question answering and reasoning tasks by combining visual representations with the abstract skill set larg…