Industrial Forum


Intelligence Technologies in Industry

Time: 2:45pm-6:15pm, Nov. 5 (Tue) & 10:30am-12:00pm, Nov. 6 (Wed)
Venue: L3-RA, Level 3
Chairperson: Danwei Wang and Haoyao Chen


Session A (Tuesday, Nov 5, 2:45pm–4:15pm)

Time Title Speaker

Walk into the Era of “Human-Robot Coexistence”

Integrating physical and cognitive skills on real robots has been an attractive topic for the robotics and AI community. In this presentation, we discuss our strategy of creating the core technology on robots, providing various services for our society, and, more importantly, commercializing robots in different business domains. A collection of our practical robotic and AI products is showcased in this presentation to demonstrate that how UBTECH moves step by step to build our ecosystem of “AI + Robotics”. Based on our experience and achievement in the past years, we believe that we will eventually walk into the era of “Human-Robot Coexistence”.

Huan Tan, UBTech
3:15pm–3:30pm Smart Compliant Actuator--Low cost solution for robotic motion control problem based on quasi-direct drive Haotian Cui, INNFOS

On-demand last mile delivery using autonomous vehicles

The mission of MEITUAN is to help people eat better, live better. In doing so, we have served 310 million active buyers last year with an averaged 21 million transactions per day. The demand to timely delivery all the goods to customers at peak hours is a tremendous task indeed. At the last mile of a delivery, a hasty courier might get into traffic accidents or deliver packages to the wrong customers. The autonomous delivery division was established in MEITUAN in 2016. The vision is to deliver the goods to customers timely, safely and accurately. Accompanied with the sophisticated and advanced dispatch system in MEITUAN, we are going to initialize human - auto hybrid delivery at some specific districts in recent years. With the advancement of AI technology, we hope to use autonomous vehicles to deliver everything for everyone everywhere in the near future.

Dongchun Ren, Meituan
3:45pm–4:15pm Panel discussion  


Session B (Tuesday, Nov 5, 4:45pm–6:15pm)

Time Title Speaker
4:45pm–5:05pm How AI Improves Learning Efficiency in K-12 Personalised Education Wei Cui, Squirrel AI Learning by Yixue Group

Robotics Initiatives at Khalifa University and the UAE

Robotics is a powerfultechnology with potential for disruptive economic and societal impact. This has resulted in unprecedented investments in robotics in anticipation of new market opportunities. This talk will present some of the robotics related initiatives in the UAE and at Khalifa University. We will also review and discuss the role of international competitions in catalyzing future technological innovations in robotics with a particular focus on the biennial Mohammed Bin Zayed International Robotics Challenge.

Lakmal Seneviratne, Khalifa University

The fourth robotic revolution and what it means for the future of robot-based automation

In this talk the four robotic revolutions will be explained, with a focus on the next generation of robotics & AI technologies required for the fourth – the cognitive – robotic revolution. Both KUKA’s and the European standpoint will be discussed. A few examples will be given based on projects KUKA has carried out in close collaboration between research and industry.

Rainer Bischoff, KUKA
5:40pm–6:15pm Panel discussion  


Session C (Wednesday, Nov 6, 10:30am–12:00pm)

Time Title Speaker

Applied Depth Sensing in Robotics with Intel® RealSense™ technology

Intel® RealSense is shaping the future of technology by equipping devices and machines with the ability to perceive their surroundings. An evolutionary advancement for computer vision by developing machines that can understand, interact with, and learn from their environment.  Intel® RealSense technology will help make everyday tasks easier and more intuitive. With applications like personal robots, intelligent drones, autonomous vacuums, and smart mirrors – we are entering an era of devices that can perceive both us and their operating environment.

Sergey Dorodnicov, Intel® RealSense™

Using Data Labeling for Prediction & Planning

Machine Learning and data annotation has produced a sea change for object detection and tracking over the decade. Next area which deep learning will revolutionize is prediction and planning for autonomous vehicles and robotic systems. Come hear how Scale AI is already providing the data and annotations powering this transformation.

Elliot Branson, Scale AI

Ideal 3D Camera For Both Research And Industrial Applications

A good 3D camera can be very helpful for robot research, e.g. grasping, manipulation, and path generation, especially when the research is aiming at real-world applications. Mech-Mind Robotics is a fast-growing start-up which has delivered many bin-picking systems to industrial customers, with Deep Learning algorithms and its high-performance yet affordable 3D cameras. In this presentation, experiences from industry in deploying of such systems are shared, and the topic of “ideal 3D camera” will be discussed with case studies.

Tianlan Shao, Mech-Mind Robotics
11:15am-12:00pm Panel discussion