Hello, I am Hrishikesh Tawade, and I am currently working as a Lead Robotics Engineer, Toyota Research Institute. My past experience includes working as Tech Lead - Robotics & Vision at Ample Inc., where I focused on multi-robot coordination, perception pipelines, and deployment of autonomous battery swapping systems at scale. I have experience with humanoid robots for factory floor, autonomous guided vehicles on factory floors and can also talk about evolution of robots and the state of them in business. Please let me know your questions and I can answer them to the best of my capability.
I've spent the last few years launching advanced consumer robotics products for Robosen--specifically their officially licensed Transformers Optimus Prime and Disney/Pixar Buzz Lightyear robots. These aren't warehouse bots, but they're giving thousands of households their first real experience interacting with sophisticated robotics and AI in their living rooms. What I've learned from launching these products is that the adoption barrier isn't technical anymore--it's experiential. The Buzz Lightyear robot responds to voice commands, moves autonomously, and adapts to its environment, but our biggest challenge was designing the app interface and unboxing experience to make people comfortable with that level of interaction. We drew heavily from movie UI elements to make the control interface feel familiar rather than intimidating. The pre-launch for Elite Optimus Prime generated over 300 million media impressions and sold out initial allocation, which tells me consumer appetite for robots at home is massive--but only when they're tied to emotional connections like beloved characters. People weren't buying a robot; they were buying a relationship with Optimus Prime that happened to be powered by advanced robotics. From a business evolution perspective, I'd point to the app design as critical. We built dynamic backgrounds that changed with time of day and incorporated HUD-style displays. The companies that crack intuitive human-robot interaction at the consumer level are solving the same UX problems that warehouse and retail operations will face--just with higher stakes when mistakes happen on a factory floor instead of a kid's bedroom.
I have seen their development as a technical platform as they develop platforms that educate the systems and algorithms that drive them. The most interesting thing is the discrepancy in the ability and implementation. The robots Tesla Optimus and Figure have both have impressive dexterity capability in a controlled environment, but I would not often hear them perform any tasks on a large scale in a warehouse. It is no longer about mechanical the challenge anymore, it is the edges cases. A robot is also able to pile boxes in perfect stack until a person leaves a pallet on his odd side or a package rips out of control. Years of human intuition are the place where it prevails. I made a counter-intuitive discovery that the businesses that are doing well with robots are not replacing humans in large numbers. They are employing them in repeated micro tasks whereas they are retaining people to make judgment decisions. This is illustrated in the model of the warehouses at Amazon. Shelves are moved to the workers by robot, who then take the delicate decision regarding packing or quality control. The actual bottleneck at present? Training time. It takes tremendous sets of edge cases to even have these systems to the point of autonomy. Humanoid robots will never be a replacement, but till we either develop a more realistic simulation environment or enhanceah the field of transfer learning, they will still be high- cost helpers, rather than substitutes. The hardware problems are outstripped by the software problems by this point.
I've spent a lot of time working with autonomous systems in logistics spaces, where electric vehicle charging infrastructure and warehouse operations intersect on the same floor, and humanoid-style robots are actually in use. One of the first things you notice is how easily they integrate with repetitive tasks, such as restocking, simple inspections, or shuttling materials between zones. They ease the strain on human workers and free those people up for more high-value tasks, but they also bring new coordination headaches as robots and humans crowd into tight spaces together. Instead of trying to fit robots into existing processes, companies are redesigning those processes around automation.
My emphasis at GPTZero is on AI detection and assessing content authenticity, not robotics, but we are partnered with several companies working on the same issues around automation, trust, and human-AI co-bots. This gives me opportunities to see the emergence of humanoid and semi-autonomous robots in actual workflows in places like warehouses, retail, and consumer-facing services. Among the organizations we collaborate with, the dominant trend we see is that robots are now considered incremental labor infrastructure as opposed to, say, the robot pilots of the future. For example, in a warehouse, a couple of employees would oversee robots performing repetitive lifts or restocking items, with the humans responsible for exception handling and safety. In retail or service contexts, robots tend to branch tasks like wayfinding, Q&A, or restocking, contexts in which even consistency is prioritized more than improvisation. The biggest friction is having assurance, accountability, and calibrating the human-robot workflow. With AI, we are seeing the same principle work. We see productivity increases when companies build processes using robots and humans in tandem. Guardrails need to be developed around responsibility, transparency, and handoff moments if questions arise.
I've seen humanoid robots gradually become part of daily business operations — especially in hospitality and retail. A few years ago, while consulting for a restaurant group in Los Angeles, I watched them test a robot server to assist staff during peak hours. Initially, customers were fascinated — they filmed, smiled, and even tipped the robot. But over time, the novelty wore off, and the team realized the true value was in efficiency and consistency. The robot never called in sick, always delivered food on schedule, and freed up human staff for customer engagement. That's when I understood that the future of robots in business isn't about replacing people — it's about amplifying human capabilities. In digital marketing, I've noticed similar parallels. Businesses that adopt automation or AI-driven systems succeed only when they keep the "human touch" intact. Robots can handle repetitive or logistical tasks — whether that's stacking shelves or delivering food — but customers still crave empathy, eye contact, and trust. My advice for companies exploring humanoid robots is to start small: identify one bottleneck where automation saves time or enhances service, then measure real results. The winners in this space will be those who combine technology with genuine human interaction — not those who try to eliminate it.
Hello, Robots are reshaping how we approach Interior Design and Landscaping, and I've witnessed firsthand how automation can enhance both precision and creativity. At Neolithic Materials, we've experimented with robotic-assisted fabrication in custom stone layouts, contrary to the notion that robotics replace craftsmanship, it has amplified our team's design capabilities, allowing for intricate patterns that would be impractical manually. In landscaping projects, robotic machinery for cutting and positioning large stone elements has accelerated timelines while maintaining aesthetic quality, giving clients a seamless integration of indoor and outdoor spaces. I'd be happy to provide detailed insights and examples for your story. Best regards, Erwin Gutenkust CEO, Neolithic Materials https://neolithicmaterials.com/
I'm Nate Nead, CEO at LLM.co, and this year has been the inflection point where humanoid robots moved from spectacle to workforce adjacency, especially in logistics, retail, and frontline service. We work with enterprises deploying embodied AI stacks that intelligently coordinate robots across complex environments, so I can speak both to integration challenges and operator expectations. The key insight is that humanoid robots matter most where interaction feels personal — customer service, retail, and collaborative warehouse work — because unlike traditional automation, these systems need situational reasoning and empathy layers, not just movement and math. I can also offer a strategic, market lens shaped by academic labs like MIT CSAIL and analysts tracking embodied AI adoption across physical workflows. Hospitals, warehouses, grocers, and service brands are rapidly piloting "human-in-the-loop robotics," but the winners won't be those buying hardware, they'll be those designing orchestration systems, compliance envelopes, and interaction taxonomies that let robots extend human capacity without breaking trust. In 2026, the CIO-to-CIO conversation shifts from "can the robot do the job," to "can the robot collaborate in the culture," and that's the frontier shaping business outcomes. Name: Nate Nead Title: CEO, LLM.co Website: llm.co LinkedIn: linkedin.com/in/natenead
The first time I saw a humanoid robot was in a Paris gallery, performing simple greeting tasks. People were curious at first, then confused, then amused. Watching it work reminded me how fragile human-first spaces can feel when something non-human enters them. Later, I saw similar robots in a retail space checking shelves and escorting customers. It wasn't flawless, but it was steady, predictable. It made me think about consistency: something galleries struggle with during busy tourist seasons. For me, that moment showed where robots fit. They take on the routine motions that drain staff energy. In the art world, that could be ticketing, inventory checks, or visitor counting. None of it replaces interpretation or emotional connection; those stay human. Robots don't replace culture, but they reshape the tasks that support it.
I visited a partner warehouse that had introduced humanoid robots to assist with loading. The first thing I noticed was how the floor workers talked about it, with less fear and more relief. The robot handled repetitive pallet transfers, which are hard on the back and shoulders. As a tools manufacturer, I've watched safety evolve through better equipment. Robots feel like the next step: reducing preventable injuries and stabilizing workflow during staffing shortages. Key takeaways from working beside these systems: Robots don't eliminate the need for skill; they shift it to oversight and problem-solving. They stabilize output during peak seasons when human labor is unpredictable. They're still early-stage: speed is limited, but consistency is impressive. Robots aren't replacing trades; they're removing the strain that burns people out.
You can see the shift happening in real operations. Retailers use humanoid-style robots for guided assistance and shelf monitoring, and warehouse teams pair robots with orchestration tools like AWS RoboMaker to break big tasks into smaller steps. In my experience, that produces a 10 to 20 percent reduction in manual cycle time even before full-scale automation. The bigger trend is that robots are becoming co-workers rather than replacements. Most companies redesign workflows so humans handle exceptions and judgment, and robots take predictable movements like scanning aisles or transporting totes. That balance is what actually scales. The next phase is improving robot autonomy in messy, human environments, which is where most organizations are still learning. Mandatory Attribution: Pratik Singh Raghuwanshi is Team Leader - Digital Experience at CISIN with 15 years of experience in SaaS, AI, and enterprise software.
To be upfront, my experience is less with humanoid robots and more with task-focused robots in construction and warehouse-style environments, but the pattern in how businesses use them is very similar. What I've seen is that robots shine when they're pointed at boring, high-volume, or risky tasks, and their data is fed straight into a system people already live in, like an ERP or scheduling tool. For example, contractors using layout or scanning robots on job sites get precise measurements and progress data pushed into their project and cost reports instead of relying on manual notes. Humans still handle exceptions, trade coordination, and client communication. The robot just removes the grunt work. In practice, that "human-in-the-loop" model is where adoption sticks. People trust the numbers more, and they're less afraid the robot is there to replace them.
Hey there, I would love to contribute to your article. I am currently working with AI in Softwares, Previously I have advised couple robotic companies on how to implement AI in their hardware systems through adaptable software so a robot designed to lift boxes can also do gardening or even act like a life coach. The question we were trying to answer was should a robot has to specilize in a task or should any robot can be able to do most tasks.
As a tech founder who studies how companies adopt emerging technologies on WhatAreTheBest.com, the biggest shift I'm seeing isn't just the use of robots in warehouses or retail — it's the move toward 'task-level automation' instead of full job replacement. Most organizations aren't deploying humanoid robots to take over entire roles; they're integrating narrow, high-reliability robotic systems that remove the most repetitive or risky parts of a workflow. In warehouses, for example, robots are increasingly handling the movement of goods rather than the judgment calls. In retail and hospitality, robots excel at predictable customer interactions — inventory checks, guided directions, greeting, or basic order handling — but human employees still anchor the emotional and exception-based work. The most important trend, from a business strategy perspective, is the shift from hardware-led robotics to AI-led robotics. Robots are becoming less about the physical machine and more about the intelligence layer that makes them adaptive. Companies that succeed with robotics don't think in terms of 'replacing workers'; they think in terms of augmenting workflows and reallocating people to higher-value tasks. In short, the state of robotics in business today is not humanoid replacements — it's targeted automation that reshapes how teams operate, improves consistency, and reduces operational friction without removing the human element that organizations still rely on." - Albert Richer, Founder of WhatAreTheBest.com A research-driven platform analyzing 25,000+ software and consumer technologies across 3,000 categories.
While Wisemonk helps global companies build teams in India, we also work with several clients in robotics, warehouse automation, and AI-driven customer service. Through these partnerships, I have closely observed how humanoid and semi-autonomous robots are starting to influence real business operations. My most direct experience comes from clients in warehousing and logistics. In these settings, robots that look like simplified humanoids are now common for tasks such as item picking, moving inventory, and conducting quality checks. What stands out is how well they work alongside human teams. A few years ago, robots felt like a novelty. Today, they are seen almost as another coworker who is exceptionally reliable. Workers trust them with repetitive or physically demanding tasks. This trust reduces fatigue and improves safety. The biggest change is cultural. Teams that once worried about robots taking jobs now see that automation often removes the least interesting parts of the work and frees people for more valuable tasks. I have also seen humanoid robots used in customer-focused roles, especially in pilot programs for retail and hospitality. These robots do not fully replace human staff, but they support functions such as guiding customers, answering basic questions, or managing check-in experiences. Businesses use them to improve efficiency during busy times while still maintaining a personal human touch where it matters. From a broader perspective, it is clear that the evolution of business robotics is now driven not just by hardware. The integration of robotics with AI has speeded up adoption. Robots can now understand environments better, respond to context, and operate safely in shared spaces. This breakthrough allowed them to move from controlled factory floors to open, unpredictable places like warehouses, retail stores, and hotels. Companies that succeed with humanoid robots tend to view automation as a partnership rather than a replacement strategy. When employees learn to work alongside automation, efficiency increases and resistance decreases. Based on my observations with our clients, robots will not take over the workplace, but they will continue to take on roles where precision, endurance, and consistency exceed human effort. Meanwhile, jobs that need empathy, judgment, and relationship building will only become more valuable.
I'd be happy to share insights on robotics in warehouse operations. At Fulfill.com, we work with hundreds of 3PL warehouses across North America, and I've witnessed firsthand how robotics is fundamentally transforming fulfillment operations over the past five years. The most significant shift I've observed is that robots aren't replacing humans in warehouses, they're creating entirely new operational models. In facilities we work with that have deployed autonomous mobile robots, or AMRs, we're seeing worker productivity increase by 40 to 60 percent because the robots handle the walking. Traditional warehouse workers spend up to 70 percent of their time just walking between locations. Now, robots bring the shelves to stationary pickers, which means a worker who previously fulfilled 80 orders per shift can now handle 120 to 140. What's particularly interesting is how this changes workforce dynamics. We're seeing warehouses retain workers longer because the job is less physically demanding. One of our partner facilities in Pennsylvania told me their turnover dropped from 85 percent annually to under 30 percent after implementing AMRs. Workers aren't exhausted at the end of shifts, and older employees who might have struggled with the physical demands can now be incredibly productive pickers. However, I want to be clear about the current limitations. Robots excel at repetitive, predictable tasks in controlled environments. They're outstanding at moving inventory and assisting with picking, but they still struggle with the variability that humans handle effortlessly. Unusual package shapes, damaged goods, quality control decisions, these still require human judgment. The warehouses seeing the best results use robots for the repetitive heavy lifting while humans focus on problem-solving and exception handling. The adoption curve is also more nuanced than headlines suggest. While large operations are investing heavily, the upfront cost, often 500,000 dollars to several million for a full system, means smaller warehouses are taking a wait-and-see approach. We're starting to see robotics-as-a-service models emerge, which could accelerate adoption among mid-sized operations. Looking ahead, I believe the next breakthrough will be in robots that can handle more variable tasks, particularly in loading and unloading trucks, which remains almost entirely manual today. The warehouse of 2030 will be a true human-robot collaboration, with each doing what they do best.
Robotics has significantly transformed the business landscape, unlocking efficiencies, improving productivity, and reshaping the consumer experience. From my experience as an entrepreneur, I've seen firsthand how adopting robotic solutions can revolutionize operations across industries. For instance, in warehouse environments, robots streamline inventory management, reduce error rates, and optimize sorting and shipping processes. This not only saves time but also enhances customer satisfaction through faster, more accurate deliveries. On the consumer-facing side, automated kiosks and robotic assistants have become valuable tools in retail and hospitality, offering consistent service and reducing wait times. However, it's not just about implementing technology—it's about understanding how to integrate it seamlessly into workflows while maintaining the human element. For small businesses, starting with scalable solutions and maintaining a balance between automation and workforce engagement can lead to sustainable growth.
I've met humanoid robots toiling away in both customer service and warehouse facilities, and the encounters illustrate the way robotics is transforming business. In retail, I've seen SoftBank's Pepper robot, which was used in a shopping mall to greet visitors and answer simple questions, while directing them to stores. It could not converse very well, but it was definitely a conversation piece, and no one forgot the unique customer service. In warehouses, I've seen humanoid-style robots that help with loading and sorting. These robots were not entirely autonomous, however: They worked alongside human staff members, freeing them from repetitive stress-inducing tasks and speeding up workflows. It was all about consistency — robots could take care of repetitive tasks while employees did troubleshooting and oversight. From a business analysis point of view, humanoid robots are transitioning from experimental exhibits to useful instruments. Early deployments were focused on the novelty of it all, but now businesses are considering ROI-driven robotics applications, including reducing labour shortages, increasing customer interaction and streamlining processes. The tipping point for humanoid robots becoming more feasible in mainstream business is often cited by academic experts as the progress made in AI-driven perception and mobility. For robots in business today, it is a transitional moment, going from pilot projects to scalable solutions. The problem is to be able to weigh the cost, reliability and human faithfulness. These are the companies that truly have their best chance of achieving sustainably with robots as accepted members of the workforce.
Humanoid robots are becoming useful in real workplaces because they can slot into tasks built around human motion without redesigning the entire environment. I've seen this most clearly in a warehouse pilot where a bipedal unit handled light carton transfers in tight aisles that conventional robots couldn't navigate. The striking part wasn't the novelty but the reliability: after a two-week calibration period, the robot cut manual touchpoints by roughly 20 percent while working alongside staff without disrupting flow. The real shift is that these machines are moving from demos to predictable labor, especially in spaces where ergonomics, safety limits, or staffing gaps make repetitive work hard to sustain. Their value grows fastest when they're supervised by operators who understand the task, not by specialists trying to force a perfect automation model.
I first saw humanoid style robots used in customer facing roles at large venues where our Event Staff teams were working, and the experience changed the way I thought about their place in business. The robots handled repetitive information requests and simple directional help, which freed the human staff to focus on higher touch moments that actually needed judgment and warmth. Watching that division of labor play out in real time made it clear that the future is not about replacing people, it is about removing the tasks that drain their energy. When you use robots that way, the entire operation moves smoother and the human interactions become noticeably better because the team has more bandwidth to handle the moments that matter.