6 citations · 15 across the 4 of their papers we have counts for
6 papers
In-Context Iterative Policy Improvement for Dynamic Manipulation
Mark Van der Merwe, Devesh Jha
Attention-based architectures trained on internet-scale language data have demonstrated state of the art reasoning ability for various language-based tasks, such as logic problems…
Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing
Mark Van der Merwe, Dmitry Berenson, Nima Fazeli
Many manipulation tasks require the robot to control the contact between a grasped compliant tool and the environment, e.g. scraping a frying pan with a spatula. However, modeling…
Visuo-Tactile Transformers for Manipulation
Yizhou Chen, Andrea Sipos, Mark Van der Merwe +1
Learning representations in the joint domain of vision and touch can improve manipulation dexterity, robustness, and sample-complexity by exploiting mutual information and compleme…
Multi-Fingered Active Grasp Learning
Qingkai Lu, Mark Van der Merwe, Tucker Hermans
Learning-based approaches to grasp planning are preferred over analytical methods due to their ability to better generalize to new, partially observed objects. However, data collec…
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam +2
Deep learning has enabled remarkable improvements in grasp synthesis for previously unseen objects from partial object views. However, existing approaches lack the ability to expli…
Message Scheduling for Performant, Many-Core Belief Propagation
Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan
Belief Propagation (BP) is a message-passing algorithm for approximate inference over Probabilistic Graphical Models (PGMs), finding many applications such as computer vision, erro…