activity
20162023
most citedRGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects

25 citations · 52 across the 17 of their papers we have counts for

collaborators

17 papers

cs.RO2023

Online Multi-Contact Receding Horizon Planning via Value Function Approximation

Jiayi Wang, Sanghyun Kim, Teguh Santoso Lembono +8

Planning multi-contact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large o…

cs.RO2023★ 4 cited

RGB-D-Inertial SLAM in Indoor Dynamic Environments with Long-term Large Occlusion

Ran Long, Christian Rauch, Vladimir Ivan +2

This work presents a novel RGB-D-inertial dynamic SLAM method that can enable accurate localisation when the majority of the camera view is occluded by multiple dynamic objects ove…

cs.RO2023

Topology-Based MPC for Automatic Footstep Placement and Contact Surface Selection

Jaehyun Shim, Carlos Mastalli, Thomas Corbères +3

State-of-the-art approaches to footstep planning assume reduced-order dynamics when solving the combinatorial problem of selecting contact surfaces in real time. However, in exchan…

cs.RO2022★ 2 cited

Differentiable Optimal Control via Differential Dynamic Programming

Traiko Dinev, Carlos Mastalli, Vladimir Ivan +2

Robot design optimization, imitation learning and system identification share a common problem which requires optimization over robot or task parameters at the same time as optimiz…

cs.RO2022

Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models

Christian Rauch, Ran Long, Vladimir Ivan +1

This work presents an approach for modelling and tracking previously unseen objects for robotic grasping tasks. Using the motion of objects in a scene, our approach segments rigid…

cs.RO2022★ 25 cited

RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects

Ran Long, Christian Rauch, Tianwei Zhang +3

This work presents a novel dense RGB-D SLAM approach for dynamic planar environments that enables simultaneous multi-object tracking, camera localisation and background reconstruct…