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Robotics call for proposals - fall 2021

Pursuing the future of robotics research

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About this CFP

Amazon is advancing the robotics technology in many application areas. Amazon Robotics designs, codes, builds, and manufactures game-changing software applications, control systems, robotics and related hardware that is revolutionizing Amazon's operations across the globe. We welcome proposals in these research topics related to robotics:

  • Human-Robot Interaction (HRI) - including human machine interaction and collaboration, learning from human preferences, affective and social interactions, and ergonomic or cognitive load support;
  • Autonomous Navigation and Mobility - including field robotics, SLAM, long-term autonomy, trajectory planning, autonomous calibration, methods for ground and aerial applications, sim-to-real transfer, real-to-sim digital twin creation, sensor simulators, wireless communication, localization systems, proximity sensors, low power devices, and motion and behavior prediction;
  • Manipulation - including grasping, dexterous manipulation, gripper design, motion and grasp planning, tactile sensing, compliant control, manipulation learning, assembly, multi-step task planning, sim-to-real transfer, real-to-sim digital twin creation, simulation of deformable objects, and sensor simulators;
  • Multi-robot systems - including multi-agent pathfinding, task assignment, planning and scheduling, distributed algorithms, and multi-agent reinforcement learning;
  • Artificial Intelligence for Robotics - including computer vision, semantic scene understanding, pose estimation, object tracking, multi-modal sensing, calibration-less operation, few-shot learning, reinforcement learning for robotics, sample-efficiency, deep learning, hierarchical RL, and vision and sensing for transparent and specular objects.

Theoretical advances, creative new ideas, and practical applications are all welcome.

Timeline

Submission period: August 16 - October 8, 2021
Decision letters will be sent out March 2022

Award details

Selected Principal Investigators (PIs) may receive the following:

  • Unrestricted funds, no more than $80,000 USD on average
  • AWS Promotional Credits, no more than $20,000 USD on average
  • Training resources, including AWS tutorials and hands-on sessions with Amazon scientists and engineers

Awards are structured as one-year unrestricted gifts. The budget should include a list of expected costs specified in USD, and should not include administrative overhead costs. The final award amount will be determined by the awards panel.

Eligibility requirements

Please refer to the ARA Program rules on the FAQ page.

Proposal requirements

Proposals should be prepared according to the proposal template. To submit a proposal for this CFP, please also indicate your research topic(s) as outlined in the “About this CFP” section, and list the open-source tools you plan to contribute to, and/or any AWS tools you may use.

Please note when submitting a proposal, you will be asked to select a subcategory from these five options: Manipulation, Mobility, Human Robot Interaction, Artificial Intelligence for Robotics, and Multi-robot Systems.

Selection criteria

ARA will make the funding decisions based on the potential impact to the research community and quality of the scientific content.

Expectations from recipients

Recipients are assigned an Amazon research contact who offers consultation and advice along with opportunities to participate in Amazon events and training sessions. To the extent deemed reasonable, Award recipients should acknowledge the support from ARA. Award recipients will inform ARA of publications, presentations, code and data releases, blogs/social media posts, and other speaking engagements referencing the results of the supported research or the Award. Award recipients are expected to provide updates and feedback to ARA via surveys or reports on the status of their research. Award recipients are encouraged to attend (physically or virtually) our Robotics Research Symposium in fall 2022 to present the results of their research. Award recipients will have an opportunity to work with ARA on an informational statement about the awarded project that may be used to generate visibility for their institutions and ARA.

Additional Information

This CFP is funded annually.

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Economist, Prime Science
US, WA, Seattle
Amazon Prime is looking for an ambitious Economist to help create econometric insights for world-wide Prime. Prime is Amazon's premiere membership program, with over 200M members world-wide. This role is at the center of many major company decisions that impact Amazon's customers. These decisions span a variety of industries, each reflecting the diversity of Prime benefits. These range from fast-free e-commerce shipping, digital content (e.g., exclusive streaming video, music, gaming, photos), and grocery offerings. Prime Science creates insights that power these decisions. As an economist in this role, you will create statistical tools that embed causal interpretations. You will utilize massive data, state-of-the-art scientific computing, econometrics (causal, counterfactual/structural, time-series forecasting, experimentation), and machine-learning, to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, data professionals (business analysts, business intelligence engineers), product managers, and software engineers. You will create insights from descriptive statistics, as well as from novel statistical and econometric models. You will create internal-to-Amazon-facing automated scientific data products to power company decisions. You will write strategic documents explaining how senior company leaders should utilize these insights to create sustainable value for customers. These leaders will often include the senior-most leaders at Amazon. The team is unique in its exposure to company-wide strategies as well as senior leadership. It operates at the cutting-edge of utilizing data, econometrics, artificial intelligence, and machine-learning to form business strategies. A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, time-series, machine-learning) using software such as R, Python, or STATA. They will have a willingness to learn and apply a broad set of statistical and computational techniques to supplement deep-training in one area of econometrics. For example, many applications on the team use structural econometrics, machine-learning, and time-series forecasting. They rely on building scalable production software, which involves a broad set of world-class software-building skills often learned on-the-job. As a consequence, already-obtained knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track-record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors). Candidates must have very strong writing and emotional intelligence skills (for collaborative teamwork, often with colleagues in different functional roles), a growth mindset, and a capacity for dealing with a high-level of ambiguity. Endowed with these traits and on-the-job-growth, the role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.
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