1 citations · 1 across the 13 of their papers we have counts for
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ContactDP: Contact-Guided Diffusion Policy for Tight Insertion Tasks
Chengyi Xing, Shaoxiong Yao, Diego Romeres +1
High-precision connector insertion remains challenging for robotic systems due to tight mechanical tolerances, partial observability during contact, and multimodal uncertainty aris…
IMBench: A Benchmark for Intuitive Robotic Manipulation
Anurag Maurya, Sukhvansh Jain, Prajwal Avhad +9
Humans combine reasoning and motor control to solve complex manipulation tasks under diverse constraints. They build an understanding of the physical world that helps them convert…
PPGuide: Steering Diffusion Policies with Performance Predictive Guidance
Zixing Wang, Devesh K. Jha, Ahmed H. Qureshi +1
Diffusion policies have shown to be very efficient at learning complex, multi-modal behaviors for robotic manipulation. However, errors in generated action sequences can compound o…
Simultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing
Mark Van der Merwe, Kei Ota, Dmitry Berenson +2
Prehensile autonomous manipulation, such as peg insertion, tool use, or assembly, require precise in-hand understanding of the object pose and the extrinsic contacts made during in…
Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM
Chiori Hori, Yoshiki Masuyama, Siddarth Jain +4
Human-robot collaboration towards a shared goal requires robots to understand human action and interaction with the surrounding environment. This paper focuses on human-robot inter…
Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization
Akshay Jaitly, Devesh K. Jha, Kei Ota +1
Optimization-based methods are widely used for computing fast, diverse solutions for complex tasks such as collision-free movement or planning in the presence of contacts. However,…
Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
Yuki Shirai, Kei Ota, Devesh K. Jha +1
Non-prehensile manipulation is challenging due to complex contact interactions between objects, the environment, and robots. Model-based approaches can efficiently generate complex…
Find the Fruit: Zero-Shot Sim2Real RL for Occlusion-Aware Plant Manipulation
Nitesh Subedi, Hsin-Jung Yang, Devesh K. Jha +1
Autonomous harvesting in the open presents a complex manipulation problem. In most scenarios, an autonomous system has to deal with significant occlusion and require interaction in…
Modality Selection and Skill Segmentation via Cross-Modality Attention
Jiawei Jiang, Kei Ota, Devesh K. Jha +1
Incorporating additional sensory modalities such as tactile and audio into foundational robotic models poses significant challenges due to the curse of dimensionality. This work ad…
FDPP: Fine-tune Diffusion Policy with Human Preference
Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka +1
Imitation learning from human demonstrations enables robots to perform complex manipulation tasks and has recently witnessed huge success. However, these techniques often struggle…
RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
Shivam Vats, Devesh K. Jha, Maxim Likhachev +2
Model-based planners and controllers are commonly used to solve complex manipulation problems as they can efficiently optimize diverse objectives and generalize to long horizon tas…
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly
Kei Ota, Devesh K. Jha, Siddarth Jain +5
Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem w…
Robust In-Hand Manipulation with Extrinsic Contacts
Boyuan Liang, Kei Ota, Masayoshi Tomizuka +1
We present in-hand manipulation tasks where a robot moves an object in grasp, maintains its external contact mode with the environment, and adjusts its in-hand pose simultaneously.…