APAC CIOOutlook
About UsConferencePartner With Us
  • Technologies
    • Blockchain
      Data Intelligence and Management
      Digital Transformation
      FinTech
      Generative and Agentic AI
      Low Code No Code
      Mobile Application
      Networking
      Robotics
      Storage
      Wireless
  • Industries
    • Automotive
      Aviation
      Banking
      Construction
      E-Commerce
      Food and Beverages
      Healthcare
      Insurance
      Logistics
      Manufacturing
      Retail
      Supply Chain
      Travel and Hospitality
  • Platforms
    • Microsoft
      Salesforce
      SAP
  • Strategic Solutions
    • Business Intelligence
      Contact Center
      Corporate Finance
      CRM
      Cyber Security
      Data Center
      Enterprise Asset Management
      Enterprise Performance Management
      IT Infrastructure and Services
      Managed Services
      Procurement
      Unified Communication
      Workflow
  • Home
  • CXO Insights
  • Leadership Perspectives
  • Innovation Insights
  • Research
  • News
  • Whitepapers
  • CXO Awards
#

Apac CIOOutlook Weekly Brief

×

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

Subscribe

loading

THANK YOU FOR SUBSCRIBING

  • Home
  • News

Top Robotics & Automation Trends and Innovations

Robotics is a specialised field of engineering that focuses on the design and creation of robots. 

By

Apac CIOOutlook | Friday, September 01, 2023

Robotics and automation are evolving with trends like collaborative robots and AI-driven automation, promising industry transformation, enhanced productivity, and a more efficient future.

FREMONT, CA: Robotics is a specialised field of engineering that focuses on the design and creation of robots. These robots are programmed to carry out tasks independently or with partial autonomy, providing significant benefits to businesses. This field encompasses the development, construction, and coding of intelligent robots aimed at tackling challenges across various operational and industrial sectors.

Sitting at the intersection of artificial intelligence, robotics forms a diverse field that presents ample opportunities for engagement with prominent companies both in India and globally. Aspiring professionals in robotics engineering have a broad scope ahead, ranging from applications in manufacturing facilities to advanced uses in industries such as healthcare, defence, and automotive. Due to their enhanced adaptability and versatility, robots have become an indispensable component of modern business operations.

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

Robotics Trends and Innovations Impact

Mobile Autonomous Robots

In demanding industrial environments, workers frequently encounter challenging conditions such as exposure to hazardous substances, confined spaces, and the operation of heavy machinery. In response to these challenges, startups and scaleups are increasingly adopting the use of autonomous mobile robots (AMRs) to revolutionise various manufacturing processes. By integrating sensors, artificial intelligence, and computer vision, these robots attain the ability to fully understand their surroundings and navigate autonomously.

Warehouse AMRs, equipped with advanced scanners, are proving to be invaluable for overseeing stock levels and coordinating material processing, thus effectively streamlining inventory management. Moreover, these robots excel in expediting operational processes by independently transporting sub-assemblies and components within factories, thereby reducing the need for manual labour in moving heavy loads.

Robots with Intelligence

Robots have seamlessly integrated artificial intelligence (AI) into their automated operations, enabling them to enhance tasks using real-time data. By utilising algorithms that encompass learning, dynamic modelling, reinforcement learning, and computer vision, emerging companies have leveraged AI to elevate the capabilities of robots. In industrial settings, AI-driven robots are taking on repetitive tasks such as 3D printing, component handling, and quality control assurance. Moreover, industries like hotels and retail stores are deploying robots equipped with natural language processing (NLP) to enrich their interactions with customers.

Robotics

Collaborative robots, often referred to as cobots, distinguish themselves from traditional industrial robots through their sophisticated sensors and algorithms, which ensure their safe interaction with humans. These robots are typically configured as end-of-arm tooling (EOAT), excelling in tasks such as assembly, including intricate activities like welding components and fastening bolts.

Cobots possess the ability to manage hazardous materials like metal and plastic, as well as handle heavy objects, all while prioritising the safety of human workers. A significant advantage is their smooth integration into operations, which minimises production downtime. They seamlessly complement existing production lines while assisting human workers.

Service-Based Robotics

The process of developing and maintaining robotic systems is both costly and time-consuming, which impedes their adoption among numerous businesses and small enterprises. However, the concept of Robotics-as-a-Service (RaaS) introduces a subscription-based business model centred around automation. Embracing this on-demand robotic approach empowers enterprises to swiftly adjust their operational capacities to match the constantly evolving market conditions.

Cybersecurity Robotics

The growing integration of the Internet of Things (IoT) and the increasing need for connectivity have exposed robotic systems to the risk of cyberattacks. Ensuring the protection of these robotic solutions from unauthorised access has become paramount, particularly as they find applications in sectors such as the military, industrial, healthcare, and space.

Implementing automated cybersecurity measures is essential for securing endpoints and communication channels, thus mitigating the risks of data breaches and operational disruptions. Many startups are adopting AI and machine learning strategies to consistently monitor networks and devices. These solutions empower companies to actively oversee device activities, promptly identify security vulnerabilities, and prevent potential financial setbacks.

 

Drones

Due to remarkable progress in edge computing, high-performance computing (HPC), and networking infrastructure, a novel wave of startups has arisen. These companies are focused on crafting drones endowed with amplified capabilities in both range and power. These drones are now finding applications across various industries for tasks such as package delivery, aerial data collection, equipment inspections, and more.

Within the agricultural sector, these innovative drones have assumed roles such as precise pesticide distribution, targeted seed placement, crop monitoring, and livestock tracking. Their versatility has accelerated their integration into critical aspects of last-mile transportation, including the delivery of necessities like groceries and medical supplies. Vertical take-off and landing (VTOL) technology has played a pivotal role in rendering these drones suitable for operations in confined spaces. This capability enables them to offer essential emergency services during periods of pandemics and natural disasters.

IoT (Internet of Things)

Robotics is centred around boosting productivity, facilitating interaction, and enabling independent actions. On the other hand, the Internet of Things (IoT) empowers functions like sensing, surveillance, and recording. The efficiency of interconnected robots heavily relies on the capabilities of edge computing systems. By collecting and transmitting data, these systems ensure the smooth operation of feedback-driven processes.

Recent advancements in edge IoT technology have empowered robot manufacturers to shift data processing closer to the source of the data. This advancement allows robotic systems to leverage almost instantaneous data, thereby enhancing task efficiency. Furthermore, the communication between machines (M2M) and between machines and humans (M2H) encourages a more effective collaboration between humans and robots.

Humanoid Robots

Emerging organisations are creating humanoid robots with a wide range of applications across various industries, including healthcare, education, entertainment, and hospitality. The prevalence of these humanoid machines has increased in the wake of the pandemic. They now undertake tasks such as contactless housekeeping and the delivery of items within hospitals.

These humanoid robots are particularly valuable for tasks involving inspection, maintenance, and recovery operations in hazardous situations within power facilities. This not only enhances operational safety but also protects human workers. Additionally, these robots are taking on roles such as hosting and greeting visitors at receptions, as well as providing companionship to the sick and elderly.

Similar to other categories of robots, humanoid robots are focused on automating tasks to improve efficiency and lower costs.

Automatically Piloted Vehicles

Automated guided vehicles (AGVs) play a pivotal role in the transportation of materials within warehouses, distribution centres, and manufacturing sites. These vehicles rely on a fusion of software programs and sensor-based navigation systems to oversee their movement along predetermined pathways. For instance, automated guided carts (AGCs) exhibit the capacity to transport a wide array of items, ranging from lightweight to heavy, whereas forklift AGVs adeptly manage packages without human intervention.

The efficiency of these robots results in substantial operational cost reductions and diminished reliance on human labour. Operators utilise software controls to regulate the acceleration and deceleration of AGVs, thereby mitigating the occurrence of accidents and elevating worker safety. AGVs are equipped with automatic bumpers designed to detect obstacles, providing an added layer of safety.

Assistive Robots

Individuals with diverse abilities derive significant benefits from the increased independence and improved quality of life offered by assistive robots. These robots employ sensors and intelligent algorithms to recognise, interpret, and engage with individuals. To support people with disabilities, seniors, or illnesses in their daily tasks, emerging companies are enhancing the cognitive decision-making capabilities of these machines, especially in activities of daily living (ADLs).

The field of robotics and automation is experiencing rapid evolution with noteworthy trends and innovations. From collaborative robots that enhance workplace efficiency to AI-driven automation that revolutionises industries, the landscape is undergoing substantial transformations. As technology continues to advance, the fusion of robotics and automation holds the potential to reshape industries, enhance productivity, and open up new possibilities for a more efficient and interconnected future.

More in News

IoT and AI: The Key Technologies Transform Transport Management

AI and IoT have been transforming every industrial domain today. Be it manufacturing, communication, energy, defense or consumer products, AI and IoT have been steering the world to embrace digitalization at every step. Quite similarly, these two technologies have been also transforming transport management in many ways, some of which are listed below. The first application that needs mention is inventory and warehouse management. In this era of globalization, warehouses storing a particular firm’s inventory may not be located at a nearby site to the head office and managing incoming and outgoing goods might become difficult. An array of sensors at the warehouses connected to the firm’s TMS (Transport Management System) in combination with AI algorithms can provide a comprehensive overview of their inventory with complete data analysis. This would also minimize costs by automating mundane manual tasks. The next significant area that needs mention is order processing. Through on-site kiosks, order placing and acceptance can be seamlessly automated. Payments can also be transferred easily from anywhere and a firm can deploy AI solutions to have anaccurate viewof the financial and transactional workflows. The third and final aspect is logistics and shipping. Upon placing an order or receiving one, IoT sensors can provide real-time tracking of the goods shipped via any transport medium till they are delivered to the relevant customers. AI algorithms can provide key performance metrics at every step, point out the loopholes of the entire transport management process, and assist firms to improve their services manifolds. ...Read more

The Role of Big Data in Tourism Analytics

Big data has revamped operations and reshaped how businesses interact with consumers in the tourism and hospitality sectors. Big data analytics allows travel companies to process large volumes of information, derive actionable insights, and significantly improve service delivery. Big data is crucial in analyzing travel patterns, offering businesses valuable insights into traveler behaviors, preferences, and movement trends. Data from mobile devices, location services, and online travel searches enables tourism boards and travel agencies to derive actionable intelligence. By analyzing GPS and mobile data, businesses can identify popular destinations, monitor visitor flows, and assess seasonality in travel. Online reviews and interactions reveal customer preferences, allowing companies to tailor services accordingly. Additionally, AI-driven algorithms process user data to generate personalized itineraries, enhancing the overall travel experience. Powered by big data, predictive analytics is transforming the tourism industry by enabling real-time trend identification. Hotels, airlines, and tour operators leverage historical data to forecast demand spikes during peak seasons, festivals, and special events, allowing dynamic pricing adjustments. Social media analysis helps businesses identify emerging travel hotspots, creating opportunities for early market entry. Furthermore, big data supports health-related travel forecasting, as seen in pandemic tracking and decision-making during COVID-19. Enhancing customer experience is a significant benefit of big data in tourism. AI-driven tools analyze past booking behaviors, enabling businesses to offer personalized recommendations that boost customer satisfaction and engagement. Real-time feedback from review platforms helps companies quickly address operational inefficiencies. Furthermore, seamless travel experiences are facilitated through automated check-ins and AI-powered virtual assistants, ensuring efficient, hassle-free interactions. By incorporating big data analytics, the travel industry can not only enhance operational efficiency and service quality but also anticipate evolving consumer demands. Circlace , for instance, helps businesses integrate big data to refine customer journeys and streamline operations. As artificial intelligence and machine learning evolve, big data applications in the tourism industry are set to reach new heights. Some emerging trends are predictive and prescriptive analytics, real-time insights through IoT devices, and blockchain-enabled secure transactions. These advancements are expected to further enhance the tourism ecosystem by offering smarter, more sustainable, and highly efficient solutions. I-ESG provides solutions that leverage big data analytics to optimize sustainability efforts and enhance operational efficiency in the tourism industry. Big data is undeniably a key driver in transforming the tourism industry. From analyzing travel behaviors to personalizing customer experiences, it has streamlined operations and empowered businesses to make data-driven decisions. While challenges remain, the benefits outweigh the hurdles, and the future of tourism analytics, with big data at its core, is promising. ...Read more

Top Cyber Experts Gather in Kuala Lumpur for the AI & Cybersecurity Leaders Summit: ASEAN 2026

KUALA LUMPUR, Malaysia – As organisations across Southeast Asia rapidly adopt artificial intelligence to drive innovation, they simultaneously face an unprecedented wave of sophisticated, AI-driven cyber threats and ransomware. To address this critical inflection point, the AI & Cybersecurity Leaders Summit: ASEAN 2026 will take place on August 6, 2026 in Kuala Lumpur, Malaysia . Organised by Global Engage and supported by CyberSecurity Malaysia, this premier regional summit serves as Asia’s frontline defence strategy session. It brings together senior public and private sector leaders, Chief Information Security Officers (CISOs), and technology innovators to bridge the gaps in capability, talent and regional regulation. Key themes • The AI Double-Edged Sword: Weaponised LLMs, deepfakes, and building cyber resilience at machine speed • Emerging Risks & Opportunities: Navigating the 2026 threat horizon and securing vulnerable cloud architectures • Boardroom Management: Helping CISOs translate technical cyber risks into tangible financial impacts for executive boards • From Defence to Resilience: Redefining business continuity, operationalising recovery at scale, and driving digital trust • The Regional Blueprint: Navigating ASEAN data sovereignty laws, AI safety regulations, and executive accountability Featuring ASEAN’s Leading Cybersecurity Voices Attendees will gain exclusive insights from an elite lineup of regional experts and industry pioneers, including: • Suresh Sankaran Srinivasan – Group Head of Cyber Security and Data Privacy, Axiata Group Berhad (Malaysia) • Devki Gaurav Pal – Head of Cyber Security Operations, Lazada and Alibaba International Digital Commerce (Singapore) • Robert S. Paguia – Division Chief, Cybercrime Investigation and Coordination Centre (The Philippines) • Daniel Liu – Group CISO, Pacific Healthcare Group (Thailand) • Fazlan Abdullah – Head of Pre-Emptive Technology & Services Division, CyberSecurity Malaysia (Malaysia) • ...and many other influential CISOs and senior leaders from across the region. Website :  https://www.ai-cyberleaders.com/ ...Read more

Blockchain: Ensuring EHR Safety

The world is getting digitalized and so is every asset in it. Internet of Things (IoT) has helped the world evolve digitally and has certainly modernized healthcare. With healthcare being one of the most prioritized aspects of the global stage, it is quintessential to manage this industry with ease and versatility.  The evolution of digital data records has revolutionized the field of storing medical data that has aided the healthcare industry in many ways.  The digitalization of health care involves maintenance of EHRs (Electronic Health Records) which are generally stored in digital platforms, data centers and servers of the health care centers. These records aim at providing timely access to information to accelerate the fast recovery of patients. However, these records are vulnerable to breaches. According to a recent survey, about 72 percent of the employees are willing to share these confidential data tracks and many do not even know that this may cause security risks. It is advised to keep this data classified. Attackers often find ways to break through basic security protocols and cause an average annual loss of 6.2 billion dollars. To address this predicament, blockchains are implemented. Blockchains store data in the form of blocks and stack them one over the other cryptographically. This encrypts the data and keeps EHRs safe.  When blockchains are put to use, data is retained in the decentralized network of nodes and encrypted using AES256-GCM with a 256-bit key for every 128-bit block of data. The decentralized nature of the blockchain ensures data integrity as there is no single point of failure. A shared system is employed to store data, which lets the associated stakeholders access information smoothly and without any forced digital blockage. More research is being done to prevent EHRs from being breached. With a more reliable and secure way of storing data, it is only a matter of time before EHRs become absolutely impregnable.  ...Read more

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

APAC CIOOutlook
Follow on LinkedIn

About

  • Home
  • About Us
  • Partner With Us

Stay Connected

  • Subscribe
  • Newsletter
  • Sitemap

Contact Us

  • editor@apacciooutlook.com
  • sales@apacciooutlook.com
  • marketing@apacciooutlook.com

Legal

  • Editorial Policy
  • Privacy Policy
  • Terms of Use

© 2026 APAC CIOOutlook. All rights reserved.

This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

https://www.apacciooutlook.com/news/top-robotics-automation-trends-and-innovations--nwid-9655.html