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P. König, A. Melnik, C. Goeke, A. L. Gert, S. U. König, and T. C. Kietzmann, “Embodied cognition,” in
2018
Earlier work this paper cites.
A. Melnik, S. Fleer, M. Schilling, and H. Ritter, “Modularization of end-to-end learning: Case study in arcade games,”
Original
2019
Earlier work this paper cites.
N. Bach, A. Melnik, M. Schilling, T. Korthals, and H. Ritter, “Learn to move through a combination of policy gradient algorithms: Ddpg, d4pg, and td3,” in
2020
Earlier work this paper cites.
A. Harter, A. Melnik, G. Kumar, D. Agarwal, A. Garg, and H. Ritter, “Solving physics puzzles by reasoning about paths,”
Original
2020
Earlier work this paper cites.
A. Melnik, A. Harter, C. Limberg, K. Rana, N. Sünderhauf, and H. Ritter, “Critic guided segmentation of rewarding objects in first-person views,” in
2021
Earlier work this paper cites.
C. C. Kemp, A. Edsinger, H. M. Clever, and B. Matulevich, “The design of stretch: A compact, lightweight mobile manipulator for indoor human environments,” 2022
2022
Earlier work this paper cites.

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2023

Melnik, Andrew, Büttner, Michael, Harz, Leon et al.

This report introduces our UniTeam agent - an improved baseline for the "HomeRobot: Open Vocabulary Mobile Manipulation" challenge.

The challenge poses problems of navigation in unfamiliar environments, manipulation of novel objects, and recognition of open-vocabulary object classes.
This challenge aims to facilitate cross-cutting research in embodied AI using recent advances in machine learning, computer vision, natural language, and robotics.
In this work, we conducted an exhaustive evaluation of the provided baseline agent; identified deficiencies in perception, navigation, and manipulation skills; and improved the baseline agent's performance.

P. König, A. Melnik, C. Goeke, A. L. Gert, S. U. König, and T. C. Kietzmann, “Embodied cognition,” in
2018
Earlier work this paper cites.
A. Melnik, S. Fleer, M. Schilling, and H. Ritter, “Modularization of end-to-end learning: Case study in arcade games,”
Original
2019
Earlier work this paper cites.
N. Bach, A. Melnik, M. Schilling, T. Korthals, and H. Ritter, “Learn to move through a combination of policy gradient algorithms: Ddpg, d4pg, and td3,” in
2020
Earlier work this paper cites.
A. Harter, A. Melnik, G. Kumar, D. Agarwal, A. Garg, and H. Ritter, “Solving physics puzzles by reasoning about paths,”
Original
2020
Earlier work this paper cites.
A. Melnik, A. Harter, C. Limberg, K. Rana, N. Sünderhauf, and H. Ritter, “Critic guided segmentation of rewarding objects in first-person views,” in
2021
Earlier work this paper cites.
C. C. Kemp, A. Edsinger, H. M. Clever, and B. Matulevich, “The design of stretch: A compact, lightweight mobile manipulator for indoor human environments,” 2022
2022
Earlier work this paper cites.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…

2023

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