Posted Today
About the role
Topic
The construction industry is on the brink of a robotics transformation. As humanoid and legged robots become increasingly capable of navigating unstructured environments, global interest is shifting from physical automation toward autonomous site understanding. Instead of replacing construction labor, emerging robotic solutions focus on capturing real-time status, quality, and safety information to support project management, reduce delays, and improve decision-making. Despite rapid technological progress, the industry's perception, acceptance, and readiness to adopt such information‑gathering robots remain poorly understood. A clear view of market dynamics, adoption barriers, and success conditions is essential to build a viable business case.
The project study focuses on the following question: “What is the current market readiness and strategic potential for humanoid robots as autonomous monitoring and digital‑site‑intelligence assistants in construction?”
Thereby, among others, the following questions are crucial:
•
How do key construction stakeholders perceive the use of humanoid or autonomous robots that support project management through on‑site monitoring, progress tracking, and quality/safety verification?
•
Which robotic technologies and sensing capabilities are currently being developed or deployed for automated site data collection?
•
What are the main acceptance drivers and barriers for using robots as digital observers among workers, site managers, and project owners?
•
How much investment is flowing into robotics startups and solutions focused on perception, inspection, and progress‑tracking in construction, and which business models are emerging?
•
Which benchmarks, best practices, and international case studies illustrate successful deployment of robots for monitoring and data-driven site management?
•
What are realistic market-entry scenarios and strategic positioning options for CONBENE in the domain of autonomous site-intelligence robotics?
Deliverables:
•
A comprehensive business case including:
Global
overview of humanoid and autonomous robotic solutions for on-site monitoring, inspection, and progress tracking.
Market
perception and acceptance study based on structured interviews and surveys (contacts provided by CONBENE Improvement GmbH).
Analysis
of technology maturity, adoption barriers, and critical success factors.
Benchmarks
of investment volumes, market growth forecasts, and competitive landscapes.
Identification
of key use cases and value pools for autonomous site-intelligence humanoid robotics.
An
evaluation including cost-benefit considerations and strategic recommendations.
The
way forward!
Requirements:
•
Independent, structured, and analytical working style.
•
Strong interest in innovation, construction technologies, and the future of work.
•
Background in Business Engineering, Management, Industrial Engineering, Sociology, or similar.
•
Experience with qualitative/quantitative research and market analysis tools is an asset.
Topic
The construction industry is on the brink of a robotics transformation. As humanoid and legged robots become increasingly capable of navigating unstructured environments, global interest is shifting from physical automation toward autonomous site understanding. Instead of replacing construction labor, emerging robotic solutions focus on capturing real-time status, quality, and safety information to support project management, reduce delays, and improve decision-making. Despite rapid technological progress, the industry's perception, acceptance, and readiness to adopt such information‑gathering robots remain poorly understood. A clear view of market dynamics, adoption barriers, and success conditions is essential to build a viable business case.
The project study focuses on the following question: “What is the current market readiness and strategic potential for humanoid robots as autonomous monitoring and digital‑site‑intelligence assistants in construction?”
Thereby, among others, the following questions are crucial:
•
How do key construction stakeholders perceive the use of humanoid or autonomous robots that support project management through on‑site monitoring, progress tracking, and quality/safety verification?
•
Which robotic technologies and sensing capabilities are currently being developed or deployed for automated site data collection?
•
What are the main acceptance drivers and barriers for using robots as digital observers among workers, site managers, and project owners?
•
How much investment is flowing into robotics startups and solutions focused on perception, inspection, and progress‑tracking in construction, and which business models are emerging?
•
Which benchmarks, best practices, and international case studies illustrate successful deployment of robots for monitoring and data-driven site management?
•
What are realistic market-entry scenarios and strategic positioning options for CONBENE in the domain of autonomous site-intelligence robotics?
Deliverables:
•
A comprehensive business case including:
Global
overview of humanoid and autonomous robotic solutions for on-site monitoring, inspection, and progress tracking.
Market
perception and acceptance study based on structured interviews and surveys (contacts provided by CONBENE Improvement GmbH).
Analysis
of technology maturity, adoption barriers, and critical success factors.
Benchmarks
of investment volumes, market growth forecasts, and competitive landscapes.
Identification
of key use cases and value pools for autonomous site-intelligence humanoid robotics.
An
evaluation including cost-benefit considerations and strategic recommendations.
The
way forward!
Requirements:
•
Independent, structured, and analytical working style.
•
Strong interest in innovation, construction technologies, and the future of work.
•
Background in Business Engineering, Management, Industrial Engineering, Sociology, or similar.
•
Experience with qualitative/quantitative research and market analysis tools is an asset.
How to apply
Please send your application exclusively by e-mail and include all supporting documents to: Mihovil Cuzic | mihovil.cuzic@tum.de Johann Hernandez | j.hernandez@conbene.de
