In an interview with TimesTech, Amit Sharma, Founder & Whole Time Director of Matrix Geo Solutions, speaks about how human–robot collaboration will reshape industrial productivity in the Industry 5.0 era. He highlights the growing role of drone-based robotic systems in improving safety, enabling smarter decision-making, and supporting engineers with real-time intelligence, while emphasizing that human judgment, accountability, and creativity will remain central to future industrial ecosystems.
Read the full interview here:
TimesTech: Industry 5.0 shifts the focus from automation to collaboration. How do you see human–robot collaboration redefining industrial productivity and decision-making in the coming decade?
Amit: Productivity in the next decade will be defined less by how fast machines work and more by how intelligently humans and robotic systems work together. Collaboration will move decision making away from purely automated outputs toward shared judgment, where machines manage large-scale sensing, pattern recognition, and early risk detection while humans contribute engineering context, ethics, and situational reasoning. In geospatial and infrastructure environments, this collaboration is increasingly taking shape through aerial robotic platforms that act as the first layer of observation across large and complex sites. These systems continuously translate physical reality into usable data for planners and engineers. This will reshape industrial productivity into a balance of speed and wisdom. The real gain will come from shrinking the gap between what is happening on site and how quickly informed decisions are made, reducing rework, improving safety, and enabling earlier, more confident interventions.
TimesTech: With your experience at Matrix Geo Solutions, how are intelligent systems and robotics being designed today to complement human skills rather than replace them?
Amit: Intelligent systems are being designed with the understanding that robotic platforms must strengthen human capability rather than replace it. At Matrix Geo Solutions, drone-based systems are developed as extensions of field engineers and planners, not substitutes. They capture high-resolution visual and spatial data from unsafe or inaccessible zones such as elevated structures, active construction corridors, and disaster-affected regions, while AI processes volumes that no human team could handle manually, and final interpretation remains with trained professionals. This ensures technology improves human accuracy without removing accountability. Design increasingly focuses on platforms that explain what they detect, allowing engineers to validate cracks, deformations, and progress deviations rather than accept outputs blindly. Drone systems also adapt to changing site conditions while humans define intent, engineering thresholds, and response priorities, reinforcing that experience and responsibility cannot be automated away.
TimesTech: Human-centricity is a core pillar of Industry 5.0. What role will AI-driven robots play in enhancing worker safety, precision, and creativity on industrial sites?
Amit: AI-driven robotic systems will increasingly act as safety partners rather than inspection tools, especially through drone-based platforms deployed across construction and industrial environments. These systems will be deployed ahead of human teams in unstable zones, scanning bridges, towers, and excavation areas to detect early signs of stress, flooding, or displacement long before they are visible to the human eye. This will significantly reduce accident exposure while allowing workers to focus on supervision and planning. Precision will improve because drones deliver consistent, repeatable inspections over time, while engineers guide methodology and corrective action. Creativity will expand as repetitive and risky inspection tasks are automated, freeing professionals to design more resilient solutions rather than merely documenting problems. In infrastructure and disaster-prone regions, drones will reveal damage patterns and vulnerability trends that humans would otherwise miss, but it is human judgment that converts those signals into safer designs. Human centricity here means drones protect life, sharpen skill, and create space for innovation.
TimesTech: From a leadership perspective, what new skill sets will the workforce need to effectively collaborate with robots, and how should industries prepare for this transition?
Amit: Collaboration with drone-based robotic systems will require a workforce that understands spatial data, system behavior, and the limits of automated detection rather than just machine operation. Workers will need to interpret aerial intelligence, relate it to structural conditions, and make decisions based on visual evidence. Skills such as analytical reasoning, ethical judgment, and adaptive problem solving will matter more than routine execution. Industries must prepare through continuous learning rather than one-time training, exposing teams early to digital twins, drone-based inspection platforms, and AI-assisted monitoring tools. Leadership must also build trust by demonstrating how drone insights support decision-making rather than replace human expertise. Structured training programs, such as those offered by Drone Academy of India, help professionals develop practical skills in drone operations, aerial data interpretation, mapping, and geospatial analytics—enabling them to work confidently alongside automated systems. The future workforce will complement drone systems through interpretation and accountability, not compete with them on speed. Preparation means building confidence in technology without surrendering critical thinking or engineering responsibility.
TimesTech: As industries adopt collaborative robots (cobots), what challenges—technological, ethical, or operational—do you foresee, and how can organizations address them responsibly?
Amit: Technological challenges will include ensuring drone reliability in dense construction zones and complex disaster environments, as well as integrating aerial intelligence with existing site and asset management systems. Ethical concerns will arise around aerial surveillance, data ownership, and automated damage assessment. Operational resistance may come from fear of monitoring or loss of control. These risks must be managed through transparency and participation. Organizations should involve site teams in drone program design and clearly define that final authority remains human. Governance frameworks must ensure drone data is used for safety, inspection, and disaster response rather than unchecked oversight. From a systems perspective, redundancy and fail-safe design are essential to avoid blind dependence. Responsible adoption means treating drone robots as regulated teammates rather than invisible tools, allowing trust to grow alongside capability.
TimesTech: Looking ahead, what is your vision for the future of industrial ecosystems where humans and robots work side by side, and how can companies ensure this collaboration drives sustainable and inclusive growth?
Amit: The future industrial ecosystem will resemble a responsive network where humans, drone robots, and location-based intelligence operate in continuous feedback loops. Humans will set priorities rooted in safety, sustainability, and social impact, while drones inspect structures, monitor construction progress, and generate real-time intelligence for disaster preparedness and post-event damage assessment. This collaboration can drive sustainable growth by reducing material waste, preventing structural failure, and accelerating recovery planning after extreme events. Inclusion will depend on whether drone technologies are used to upskill workers into analysts and decision makers rather than displace them. Companies must invest in training and workflows that value human interpretation alongside aerial automation. The long-term vision is not sites filled with machines but systems guided by human purpose, supported by robotic precision, and oriented toward collective resilience.
