- News
- China plans to mass produce humanoids by 2025
- Vietnam sets sights on becoming semiconductor hub
- Nvidia plans to release three new chips for China
- EFPGA architectural improvements that lower test cost and increase quality
- CUDA-accelerated robot motion generation in milliseconds with NVIDIA cuRobo
- AI used in construction of chip, microchip facilities
- How arm is gaining chip dominance with its architecture in Apple, Nvidia, AMD, Amazon, Qualcomm and more
- Global semiconductor sales increase 1.9% month-to-month in september
- Papers
News
China plans to mass produce humanoids by 2025
Source
: The Robot Report, November 7, 2023 [1]
China's Ministry of Industry and Information Technology (MIIT) has set ambitious goals for developing humanoid robots, with a goal to mass-produce them by 2025. The plan includes establishing a humanoid innovation system, making key technology breakthroughs, and ensuring core component supply.
Vietnam sets sights on becoming semiconductor hub
Source
: EE Times, November 7, 2023 [2]
Vietnam's ambition to become a key semiconductor hub in the region has been fueled by U.S. President Biden's visit and strategic partnership announcement. FPT Information System (FPT IS) has established a subsidiary, FPT Semiconductor, to focus on power management ICs (PMICs) design and development.
Nvidia plans to release three new chips for China
Source
: Reuters, November 9, 2023 [3]
Nvidia plans to release three new chips for China, following the US's ban on selling two AI chips and one gaming chip to Chinese firms. The chips are HGX H20, L20 PCIe, and L2 PCIe.
EFPGA architectural improvements that lower test cost and increase quality
Source
: Semiconductor Engineering, November 2, 2023 [4]
Pipelining key portions of the scan circuitry to increase scan speed.
CUDA-accelerated robot motion generation in milliseconds with NVIDIA cuRobo
Source
: NVIDIA Technical Blog, November 7, 2023 [5]
Fast motion-generation algorithms for real-time autonomous robot navigation can be used in various industries like food and services, warehouse automation, and machine tending. However, this requires complex constraints and minimizing costs, requiring local optimization.
AI used in construction of chip, microchip facilities
Source
: EE Times, November 8, 2023 [6]
The semiconductor and microchip manufacturing industry is rapidly evolving, with the integration of artificial intelligence transforming construction methods and transforming the development of high-tech manufacturing facilities.
How arm is gaining chip dominance with its architecture in Apple, Nvidia, AMD, Amazon, Qualcomm and more
Source
: CNBC, November 9, 2023 [7]
Arm, the dominant company in chip architecture, powers nearly every smartphone, with Apple relying on custom silicon for iPhones and MacBooks. Its IPO in September valued it above $54 billion due to increasing companies opting for Arm over Intel's x86 architecture.
Global semiconductor sales increase 1.9% month-to-month in september
Source
: SIA, November 1, 2023 [8]
The Semiconductor Industry Association (SIA) reported a 1.9% increase in global semiconductor sales in September 2023, with a total of $134.7 billion in Q3. This represents a 6.3% increase from Q2 2023 and a 4.5% decrease from Q3 2022. The SIA represents 99% of the U.S. semiconductor industry and nearly two-thirds of non-U.S. chip firms.
Papers
Photonic accelerators for image segmentation in autonomous driving and defect detection
Source
: arXiv, October 3, 2023 [9]
Photonic computing offers faster and more energy-efficient deep neural network inference, impacting applications like autonomous driving and defect detection. This paper investigates image segmentation on photonic accelerators, focusing on the best DNN architectures and their throughput and energy efficiency. It demonstrates that certain segmentation models exhibit negligible accuracy loss when executed on photonic accelerators, and discusses techniques for recovering accuracy in poor models.
Survey of simulators for aerial robots
Source
: arXiv, November 4, 2023 [10]
This paper analyzes existing UAV simulators and decision factors to enhance efficiency and safety in research endeavors. It highlights the challenges of selecting the best simulator for specific use-cases, despite the numerous available options.
Previous Hardware Acceleration in Robotics
Newsletters
- Hardware Acceleration in Robotics #84 - September 2023 robotics investments total $1.84 billion, Thoughts on ROSCon 2023, Reflections on ROS in Asia and more
- Hardware Acceleration in Robotics #83 - India’s path to becoming a global semiconductor hub: A transformative journey, ROS Robotics Companies and more
- Hardware Acceleration in Robotics #82 - Working with robots can make humans put in less effort, Google and Qualcomm team up for wearable devices chip and more
- Hardware Acceleration in Robotics #81 - Vote now: 2023 ROS 2 technical steering committee community representative election, Integrating ROS 2 with Microchip’s PolarFire® SoC FPGA and more
- Hardware Acceleration in Robotics #80 - 15 largest industrial robotics markets in 2022, Nvidia offices raided by French authorities in anti-trust investigation and more
- Hardware Acceleration in Robotics #79 - Robotics market will be worth $218 billion by 2030, The chips act is here to make the EU an ‘innovation powerhouse’ and more
- Hardware Acceleration in Robotics #78 - Announcing the RobotPerf™ benchmarks beta release: An industry standard for benchmarking robotic brains and more
- Hardware Acceleration in Robotics #77 - Modi wants to make India a chip-making superpower. Can he?, What's new in China's robotics market? and more
- Hardware Acceleration in Robotics #76 - July 2023 robotics investments total US $2.1 billion, North American robot orders drop for 2nd quarter in a row and more
- Hardware Acceleration in Robotics #75 - How to simplify robotics research with a native, ROS-based system, Predicting the future for semiconductors and more
Past ROS 2 Hardware Acceleration Working Group
meetings
- Hardware Acceleration WG, meeting #22
- Hardware Acceleration WG, meeting #21
- Hardware Acceleration WG, meeting #20
- Hardware Acceleration WG, meeting #19
- Hardware Acceleration WG, meeting #18
- Hardware Acceleration WG, meeting #17
- Hardware Acceleration WG, meeting #16
- Hardware Acceleration WG, meeting #15
- Hardware Acceleration WG, meeting #14
- Hardware Acceleration WG, meeting #13
- Hardware Acceleration WG, meeting #12
- Hardware Acceleration WG, meeting #11
- Hardware Acceleration WG, meeting #10
- Hardware Acceleration WG, meeting #9
- Hardware Acceleration WG, meeting #8
- Hardware Acceleration WG, meeting #7
- Hardware Acceleration WG, meeting #6
- Hardware Acceleration WG, meeting #5
- Hardware Acceleration WG, meeting #4
- Hardware Acceleration WG, meeting #3
- Hardware Acceleration WG, meeting #2
- Hardware Acceleration WG, meeting #1
Wessling, B. (2023, November 7). China plans to mass produce humanoids by 2025. The Robot Report. https://www.therobotreport.com/china-plans-to-mass-produce-humanoids-by-2025/?spMailingID=102502&puid=2502618&E=2502618&utm_source=newsletter&utm_medium=email&utm_campaign=102502 ↩︎
Dahad, N. (2023, November 7). Vietnam sets sights on becoming semiconductor hub. EE Times. https://www.eetimes.com/vietnam-sets-sights-on-becoming-semiconductor-hub/ ↩︎
Nvidia plans to release three new chips for China - local media. (2023, November 9). Reuters. https://www.reuters.com/technology/nvidia-plans-release-three-new-chips-china-local-media-2023-11-09/ ↩︎
Tate, G. (2023, November 2). EFPGA architectural improvements that lower test cost and increase quality. Semiconductor Engineering. https://semiengineering.com/efpga-architectural-improvements-that-lower-test-cost-and-increase-quality/?cmid=eca05a35-c19a-4026-913e-d83df1d8700a ↩︎
Sundaralingam, B., & Hari, S. (2023, November 7). CUDA-accelerated robot motion generation in milliseconds with NVIDIA cuRobo. NVIDIA Technical Blog. https://developer.nvidia.com/blog/cuda-accelerated-robot-motion-generation-in-milliseconds-with-curobo/ ↩︎
Morkos, R. (2023, November 8). AI used in construction of chip, microchip facilities. EE Times. https://www.eetimes.com/embracing-ai-in-construction-of-chip-microchip-facilities/ ↩︎
Tarasov, K. (2023, November 9). How arm is gaining chip dominance with its architecture in Apple, Nvidia, AMD, Amazon, Qualcomm and more. CNBC. https://www.cnbc.com/2023/11/09/how-arm-gained-chip-dominance-with-apple-nvidia-amazon-and-qualcomm.html ↩︎
Global semiconductor sales increase 1.9% month-to-month in september. (2023, November 1). SIA. https://www.semiconductors.org/global-semiconductor-sales-increase-1-9-month-to-month-in-september/ ↩︎
Nair, L., Widemann, D., Turcott, B., Moore, N., Wleklinski, A., Bunandar, D., Papavasileiou, I., Wang, S., & Logan, E. (2023, October 3). Photonic accelerators for image segmentation in autonomous driving and defect detection. arXiv. https://arxiv.org/pdf/2309.16783.pdf ↩︎
Dimmig, C. A., Silano, G., McGuire, K., Gabellieri, C., Honig, W., Moore, J., & Kobilarov, M. (2023, November 4). Survey of simulators for aerial robots. arXiv. https://arxiv.org/abs/2311.02296 ↩︎