1html lang="en"> ICRA 2025 Construction Robotics Workshop

4th Workshop on Future of Construction: Safe, Reliable, and Precise Robots in Construction Environments

May 19, 2025 Georgia World Congress Center, Atlanta, USA Meeting Room 315

Overview

The $10 trillion global construction industry has traditionally been a labor-intensive industry, yet it stands to benefit from autonomous robots that promise to deliver construction work that is more accurate and efficient compared to manual or conventional methods. However, the integration of automation and robotic technology into the construction workplace is faced with significant barriers including high cost of entry, safety concerns, inadequate training and knowledge about robotics, and poor performance of robots in dynamic, cluttered and unpredictable environments such as construction sites.

To tackle these challenging issues, this workshop aims to facilitate discussion on technology that will enable advanced robotics for future construction workplaces with an emphasis on robust perception and navigation methods, learning-based task and motion planning, and safety-focused robot-worker interactions. In line with the ICRA's theme, this workshop will provide a venue for academics and industry practitioners to create a vision for robotics in construction work and ensure equitable participation in planning for the future of construction workplaces. The full-day workshop will feature presentations by distinguished speakers from both industry and academia as well as interactive activities in the form of a SLAM challenge, poster sessions, debate, and panel discussions

The workshop will be held as a hybrid event, and the session will be live-streamed though Zoom to an online audience. In-person participants may register for the workshop and tutorial through the ICRA registration page. Remote attendance for the workshop is free.

(Virtual attendees) Join us using the following Zoom link:

https://us06web.zoom.us/j/88457835082?pwd=OGEMbcabR0KPv253dbgHPvWFu9ijNB.1

Workshop Papers

This workshop will solicit contributions in two tracks: (i) the Paper Track and (ii) the Poster-only Track.

Paper Track: This track consists of contributed papers that constitute novel, original research in construction robotics or closely related fields. Contributed papers cannot take the form of an existing paper that is published or under review. Contributed papers should be in the form of extended abstracts (about 3-4 pages in ICRA paper format, including references). Authors are encouraged to also submit an optional 2-3 minute video presentation of their paper if their work involves visualization, robot operation etc. The accepted contributed papers will be made publicly available on the workshop website. Authors of selected papers will be invited to extend their work into a journal paper for an upcoming Special Collection at the Journal for Computing in Civil Engineering.

Poster-only Track: This track consists of posters that can be either based on a prior publication or novel work. Authors with an original paper may submit it to both tracks (paper and poster). Accepted posters will be presented during the poster session on the day of the workshop in the hallway outside the conference room. Authors are expected to print out and bring their own posters to the workshop, though poster boards will be provided. Poster boards are 4'x 4'. There is no specific template for the posters. You should choose the format that best represents your research work.

Submissions can be made through this Google Form, where the paper or poster can be uploaded in PDF format. Deadlines given below are in Anywhere on Earth Time. Questions regarding the paper submission should be directed to chenjingdao@cse.msstate.edu.

Camera-ready paper submissions can be made through this Google Form.

Paper/Poster Submission Deadline: April 11 April 18, 2025, 11:59 PM AET

Paper/Poster Acceptance Notification: April 25 May 2, 2025, 11:59 PM AET

Camera Ready Paper/Poster Deadline: May 9, 2025, 11:59 PM AET


If you require an early decision notification due to having to apply for a visa, please contact chenjingdao@cse.msstate.edu


The topics of interest include, but are not limited to, the following:

  • Safe human-robot collaboration in construction tasks
  • Manipulation, path planning, navigation in dynamic and cluttered environments
  • Robust perception algorithms in cluttered and unstructured environments
  • Collaborative automation technology for heavy construction equipment
  • Automation in construction logistics
  • Wearable robotics / exoskeleton for construction workers
  • Drone technology for construction applications

Paper / Poster Awards

Submitted papers (Paper Track only) will be considered for the best research awards based on technical merit, originality, and potential impact on the field. In addition, submitted posters (Poster Track only) will be considered for Best Poster Awards, and in-person judging will take place on the day of the workshop. Best research awards come with $500 in total cash prizes generously sponsored by XYZ Reality (First place: $300, Second place $200). Best poster awards come with $600 in total prizes (claimable in the form of travel reimbursement), sponsored by the IEEE Technical Committee on Construction Robotics (First place: $300, Second place $200, Third place $100). Winners will be announced along with the NSS Challenge winners during the day of the workshop. Best research award winners will also be invited to give a 10-minute presentation on their paper during the workshop.

System

Rapid crack fillability benchmarking using position-based physics simulation for robotic pavement crack repair
Jie Xu, Damian Palin, Samuel Schaefer, N’ZeboR.Anvo, Abir Al-Tabbaa, and Fumiya Iida
Robotic Framework for Iterative and Adaptive Profile Grading of Sand
Louis Hanut, Yurui Du, Andrew Vande Moere, Renaud Detry, Herman Bruyninckx
Development of a Lab-Scale Prototype of a Cable-Driven Parallel Robot (CDPR) for Automated Installation of Prefabricated Building Envelopes
Yifang Liu, Nolan W. Hayes, Balaji Selvakumar, Diana Hun, and Bryan P. Maldonado
LLM-Driven Robotic Indoor Air Quality Monitoring: Advances in Natural Language Interaction and Decision-Making
Lin He, Saravanan Kanagaratnam, Lorena A. Zanandreis, and Min Deng
Perceived Challenges to Implementing Heterogeneous Robotic Systems for Construction
Somin Park, Abir Khan Ratul, Sanjay Acharjee, Md Nazmus Sakib
EdgeAI Drone for Autonomous Construction Site Demonstrator
Emre Girgin, Arda Taha Candan, and Coskun Anıl Zaman
Modular Low-Cost 3D-Printed Exoskeleton for Worker Injury Prevention
Bryan Gonzalez, Colin Ehrhardt, Edward Aleksi, Marcus Targonski, Shuzhen Luo
A Shared-Autonomy Construction Robotic System for Overhead Works
David Minkwan Kim , K. M. Brian Lee , Yong Hyeok Seo , Nikola Raicevic , Runfa Blark Li , Kehan Long, Chan Seon Yoon, Dong Min Kang, Byeong Jo Lim, Young Pyoung Kim, Nikolay Atanasov, Truong Nguyen, Se Woong Jun, Young Wook Kim

Localization and Mapping

Enhancing Robotic Precision in Construction: A Modular Factor Graph-Based Framework for Deflection and Backlash Compensation Using High-Accuracy Accelerometers
Julien Kindle, Michael Loetscher, Andrea Alessandretti, Cesar Cadena, Marco Hutter
SiLVR: Scalable Lidar-Visual NeRF with Uncertainty Quantification
Yifu Tao, and Maurice Fallon
The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes
Hyunho Song, Dongjae Lee, Seunghun Oh, Minwoo Jung, and Ayoung Kim
BIM-Constrained Optimization for Accurate Localization and Deviation Correction in Construction Monitoring
Asier Bikandi , Muhammad Shaheer, Hriday Bavle, Jayan Jevanesan, Holger Voos, and Jose Luis Sanchez-Lopez
Let the Robot Decide: Adaptive Scan Planning in cluttered and Unknown Terrains
Pileun Kim, Seongyong Kim, and Yong K. Cho
Reconstructing 3D Thermal Profiles of Buildings using Multimodal Drone Data
Sanjay Acharjee, Abir Khan Ratul, Ashrant Aryal, Md Nazmus Sakib
Robust Visual SLAM with Auxiliary Range Factor for Degenerate Construction Environments
Jungwoo Lee, Juwon Kim, Seung-Woo Ko, Inwook Shim and Younggun Cho

Perception

Adaptive Visual Perception for Robotic Construction Process: A Multi-Robot Coordination Framework
Jia Xu, Manish Dixit, Xi Wang
Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model
Yilong Chen, Huili Huang, and Yong K. Cho
Transfer Learning for Construction Robotics: Leveraging Road Construction Data to Enhance Building Site Segmentation
Obiora Odugu, Muhammad Tahir Khan, Chao Wang and Fellipe Fronchetti
Self-Supervised Traversability Estimation via LiDAR-Camera Fusion on Construction Sites
Jinhee Yu, Monika Jayakumar, Yilong Chen, Yong Cho, Jingdao Chen
Overcoming Visibility and Collision Challenges in Construction Robotics with Bird’s-Eye-View and Vision-Language Navigation
Maryam Soleymani, Mahdi Bonyani, and Chao Wang
Vision-Language-Spatial Graph for Object Instance Queries on Construction Sites
Charles Raines, Jingdao Chen, and Sudip Mittal

Planning, Navigation, and Control

Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties
Xiao Hu, Yang Ye
Improvement of Optimization using Learning Based Models in Mixed Integer Linear Programming Tasks
Xiaoke Wang, Batuhan Altundas, Zhaoxin Li, Aaron Zhao, and Matthew Gombolay
Deep Reinforcement Learning-Based Predictive Neuromechanical Simulation for Wearable Robots to Reduce Muscle Effort
Mingyi Wang, Shuzhen Luo
Adaptive Planning Framework for UAV-Based Surface Inspection in Partially Unknown Indoor Environments
Hanyu Jin, Zhefan Xu, Haoyu Shen, Xinming Han, Kanlong Ye, and Kenji Shimada
LLM-PCPP: Large Language Model-Assisted Prioritized Coverage Path Planning for Complex Environments
Zhaofeng Hu, Ci-Jyun Liang
Construction Robot Skill Learning for Fragile Object Installation with Low-Effort Demonstration and Sample-Efficient Hierarchical Reinforcement Learning Models
Vaidhyanathan Chandramouli, Hongrui Yu, and Ci-Jyun Liang
Safer Online Replanning for Construction Robots via NLP-Informed Potential Fields and BIM Semantics
Johannes Mootz, Mani Amani, and Reza Akhavian
Trustworthy Human-Exoskeleton Collaboration: A Memory-Enhanced LLM Agent for Construction Locomotion Prediction
Ehsan Ahmadi and Chao Wang
Bayesian Implicit Sentiment Aware Mission Planning with NLP and BIM Semantic Maps
Mani Amani and Reza Akhavian
IMU-Based Motion Estimation for Assistive Exoskeleton Control in High-Load Tasks and Complex Environments
Aderajew Tilahun, Jeronimo Cox, Tomonari Furukawa,Gamini Dissanayake
Embodied AI in Unstructured 3D Spaces: Fusing Mid- and Long-Range Sensing for Instruction-Aware Construction Robotics
Mahdi Bonyani, Maryam Soleymani, and Chao Wang
Exploiting Physics and Data for Skill Acquisition from Virtual Reality-based Demonstrations for Construction Tasks
Wangyi Liu, Dasharadhan Mahalingam, Ci-Jyun Liang, and Nilanjan Chakraborty
Semi-Lazy Rearrangement Solver for Accelerating Task Planning Using SPITE Dynamic Roadmaps
Marta Markowicz, Stav Ashur, James Motes and Nancy M. Amato
Localized Graph-Based Neural Dynamics Models for Terrain Manipulation
Chaoqi Liu, Yunzhu Li, Kris Hauser

Human-Robot Interaction

Designing Workplace Robots: A Game for Automation and Augmentation Strategies in Construction
Sihui Wu, Kim Norgaard Helmersen, Li Chen, and Gudela Grote
Joint-Space or World-Space Interfaces: Examining the Performance of Novice Excavator Operators
Ishida H., Alencastre-Miranda M., Hoshino T., Martinez Guerra, A., Usui D., Tsukahara S., and Krebs H.I.
An Intelligent Aid to Augment Performance and Training of Excavator Operators
Hoshino T., Alencastre-Miranda M., Jeong S., Ishida H., Tsukahara S., Usui D., and Krebs H.I.
Physiological Responses in Human-Robot Collaboration for Wooden Frame Assembly: Effects of Robot Positioning, Grasping Orientation, and Speed
Yanyi Chen, and Min Deng
Uncertainty-aware collaboration request prediction for proactive human-robot collaboration in construction
Zaolin Pan and Yantao Yu
Developing Skills Of Construction Engineering Students To Implement Wearable Robot Solutions In The Construction Industry Using Virtual Reality
Joshua Ofori, Omobolanle Ogunseiju, Thad Starner, Colin Logan, Ethan Kimmel, Rohan Modi, and Aaron Gabryluk
Human Nervous System-based Human-Robot Collaboration in Construction
Francis Baek and SangHyun Lee

NSS Challenge

Nothing Stands Still 2025 Challenge: HILTI and the Gradient Spaces group from Stanford University are announcing the new Nothing Stands Still 2025 Challenge to tackle the critical task of seamlessly integrating progress scans from various stages of construction. Specifically, the challenge targets the task of multiway spatiotemporal 3D point cloud registration of data collected over time at construction sites. The goal of the challenge is to achieve a global spatiotemporal map of 3D point clouds collected at any time and location at the same construction scenes, as the latter evolve. The challenge website may be accessed here.

  • Challenge Starts: March 6th, 2025
  • Challenge Ends: May 7th, 2025, 11:59pm PST
  • Prize for the winner: $4,000 USD
  • Prize for the runner-up: $1,000 USD


Speakers

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Ayoung Kim

Seoul National University

Ayoung Kim works as an associate professor in the department of mechanical engineering at Seoul National University since 2021 Sep. Before joining SNU, she was at the civil and environmental engineering, Korea Advanced Institute of Science and Technology (KAIST) from 2014 to 2021. She has B.S. and M.S. degrees in mechanical engineering from SNU in 2005 and 2007, and an M.S. degree in electrical engineering and a Ph.D. degree in mechanical engineering from the University of Michigan (UM), Ann Arbor, in 2011 and 2012. Her talk is titled "Enhancing LiDAR SLAM for Construction Sites: Ensuring Robustness and Versatility".

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Adrian Ferrier

Trimble

Adrian Ferrier is the Engineering Director for Civil Construction Field Systems at Trimble, one of the largest software companies building navigation and positioning systems for building & construction, agriculture, geospatial, and transportation sectors. His current research focus is automation on earthworks construction sites. His talk would cover recent experiences within Trimble on Autonomous Compacting and Trenching (Excavation), comparing construction vehicle automation with autonomy in agriculture, including deterministic vs nondeterministic path planning, and how machine work groups are tightly or loosely coupled.

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Borja Navas

HP Siteprint

Borja Navas is the Robotics Architect / Technologist and co-founder of Siteprint. HP SitePrint is a robotic solution designed to automate site layout in building construction. HP is combining its printing knowhow and robotics technology to revolutionize construction site layouts, bringing breakthrough efficiency.

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Lluis Abello

HP Siteprint

Lluis Abello is the Distinguished Technologist for the HP Construction Services division. HP SitePrint is a robotic solution designed to automate site layout in building construction. HP is combining its printing knowhow and robotics technology to revolutionize construction site layouts, bringing breakthrough efficiency.

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Sagar Manglani

Teleo

Sagar Manglani is the Perception Lead at Teleo Inc. where he is advancing autonomy for heavy machinery in construction by developing vision perception models for off-road environments. Prior to Teleo, he was a Senior Engineer at Ford and has studied artificial intelligence at Stanford University. His talk is titled "Leveraging Vision Language Models (VLMs) for Automated Image and Video Data Annotation for Construction Environments".

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Cynthia Brosque

SafeAI

Cynthia Brosque is a Stanford Lecturer (CEE 327: Construction Robotics) and Chief of Staff at SafeAI, working on advancing autonomous construction. She holds a Master's and PhD in Civil and Environmental Engineering from Stanford University. Her research has developed a Robotics Evaluation Framework through 30+ industry case studies matching robots with General Contractors to help construction innovators determine the safety, quality, schedule, and cost impacts of deploying robots on their projects.

Program

09:00 AM

Workshop introduction and opening remarks

09:10 AM

Invited speaker

Adrian Ferrier - Trimble
Path Planning and Sequencing
09:35 AM

Invited speaker

Ayoung Kim - Seoul National University
Enhancing LiDAR SLAM for Construction Sites: Ensuring Robustness and Versatility
10:00 AM

Coffee break | Poster session #1

Localization and Mapping
Perception
Human Robot Interaction
10:20 AM

Poster session #1 + poster competition

10:40 AM

Invited speaker

Borja Navas and Lluis Abello - HP Siteprint
11:05 AM

Industry lightning talks

Mihir Somalwar - Innovation Lead at Hensel Phelps
Robotics at Hensel Phelps

Henning Roedel - Founder at Hardhat Robotics
Imitation Learning for Electrical Safety

Bjarne Johannsen - CTO and Co-Founder at Sensmore

Cynthia Brosque - Founder and CEO at SafeAI

Conley Oster and Gary Chen - Co-Founder at Raise Robotics
A startup's tale of 0-10 and dreams for 10-100

Ci-Jyun Liang - Co-Founder at RoBIM Technologies

12:00 PM

Industry panel

12:30 PM

Lunch break | Poster session #2

01:30 PM

Poster session #2 + poster competition

System
Planning, Control, and Navigation
01:50 PM

NSS challenge results

02:05 PM

NSS challenge winner award + presentations

02:35 PM

Invited speaker

Sagar Manglani - Teleo
Leveraging Vision Language Models (VLM) for Automated Image and Video Data Annotation for Construction Environments
03:00 PM

Coffee break

03:30 PM

Best research award and best poster awards announcement

03:45 PM

Spotlight paper presentations

04:15 PM

Breakout groups

05:15 PM

End of workshop

06:00 PM

Welcome Reception

Organizers

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Dr. Jingdao Chen

Mississippi State University

(Primary Contact Person) chenjingdao@cse.msstate.edu

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Dr. Yong K. Cho

Georgia Institute of Technology

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Dr. Inbae Jeong

North Dakota State University

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Dr. Chen Feng

New York University

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Dr. Liangjun Zhang

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Dr. Maurice Fallon

University of Oxford

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Michael Helmberger

HILTI

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Kristian Morin

XYZ Reality

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Borja García de Soto

NYU Abu Dhabi

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Iro Armeni

Stanford University

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Xi Wang

Texas A&M University

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Ci-Jyun Liang

Stony Brook University

Sponsors


This workshop is made possible thanks to the generous sponsorship of the following organizations: