1 code implementation • 24 May 2022 • Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
Assembling parts into an object is a combinatorial problem that arises in a variety of contexts in the real world and involves numerous applications in science and engineering.
no code implementations • NeurIPS 2021 • Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
Discovering a solution in a combinatorial space is prevalent in many real-world problems but it is also challenging due to diverse complex constraints and the vast number of possible combinations.
no code implementations • NeurIPS Workshop LMCA 2020 • Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
Our model processes the candidate fragments in a permutation-equivariant manner and can generalize to cases with an arbitrary number of fragments and even with a different target object.
3 code implementations • 16 Apr 2020 • Jungtaek Kim, Hyunsoo Chung, Jinhwi Lee, Minsu Cho, Jaesik Park
To alleviate this consequence induced by a huge number of feasible combinations, we propose a combinatorial 3D shape generation framework.
no code implementations • 24 Mar 2020 • Sang Hun Cheong, Brian Y. Cho, Jinhwi Lee, ChangHwan Kim, Changjoo Nam
We present an algorithm determining where to relocate objects inside a cluttered and confined space while rearranging objects to retrieve a target object.
Robotics